Triple
T4733051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Béja Governorate |
E105056
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Thibar
Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
|
E465367
|
NE FINISHED |
How this triple was built (4 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: Thibar | Statement: [Béja Governorate, hasCity, Thibar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thibar Context triple: [Béja Governorate, hasCity, Thibar]
-
A.
Thiesi
Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Bojaxhiu
Bojaxhiu is the Albanian family name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
- 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: Thibar Triple: [Béja Governorate, hasCity, Thibar]
Generated description
Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thibar Target entity description: Thibar is a town in northwestern Tunisia located within the Béja Governorate, known for its agricultural surroundings and proximity to historical Roman sites.
-
A.
Thiesi
Thiesi is a small town and comune in the Logudoro region of northern Sardinia, Italy, known for its agricultural traditions and pastoral landscape.
-
B.
Arrifes
Arrifes is a civil parish in the municipality of Ponta Delgada on São Miguel Island in Portugal’s Azores archipelago.
-
C.
Tirico
Tirico is the surname of American sportscaster Mike Tirico, known for his play-by-play work on major sports broadcasts.
-
D.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
E.
Bojaxhiu
Bojaxhiu is the Albanian family name of Mother Teresa, the Catholic nun and missionary renowned for her charitable work with the poor in Kolkata, India.
- F. None of above. chosen
Provenance (5 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10acf7488190946b31f95114d459 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1502bbb4819094c27231dc6a9762 |
completed | March 21, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15ba6dac8190b37130ba0a9209c3 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:19 p.m.