Triple
T6352821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liège |
E142916
|
entity |
| Predicate | notableDrink |
P4038
|
FINISHED |
| Object |
Peket
Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
|
E586084
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Peket | Statement: [Liège, notableDrink, Peket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peket Context triple: [Liège, notableDrink, Peket]
-
A.
Pekat
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
-
B.
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
-
E.
PEK
PEK is the IATA airport code for Beijing Capital International Airport, one of the busiest and largest aviation hubs in China and the world.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Peket Triple: [Liège, notableDrink, Peket]
Generated description
Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peket Target entity description: Peket is a traditional juniper-flavored spirit from the Liège region of Belgium, often enjoyed as a local specialty at festivals and bars.
-
A.
Pekat
Pekat is a settlement on the Indonesian island of Sumbawa that was devastated by the catastrophic 1815 eruption of Mount Tambora.
-
B.
Pekar
Pekar is a surname of Central or Eastern European origin, notably associated with several cultural and artistic figures.
-
C.
Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
-
D.
Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
-
E.
PEK
PEK is the IATA airport code for Beijing Capital International Airport, one of the busiest and largest aviation hubs in China and the world.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDrink Context triple: [Liège, notableDrink, Peket]
-
A.
traditionalDrink
chosen
Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
-
B.
drinks
Indicates that one entity consumes a liquid substance, typically by ingesting it through the mouth.
-
C.
notableDrinker
Indicates that the subject is known or recognized for their drinking behavior, typically due to frequency, quantity, or notoriety.
-
D.
hasDrinkNamedAfter
Indicates that one entity has a beverage that is named after another entity.
-
E.
madeWithAlcohol
Indicates that something is created, prepared, or produced using alcohol as an ingredient or component.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067dec4a88190992d57a0cc7782ad |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c60459a7c081909b551dcf1735bf75 |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c605212688819081fc8f9c1500ff50 |
completed | March 27, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605c0db308190960370a81ff8123b |
completed | March 27, 2026, 4:21 a.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:31 p.m.