Triple
T3035332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligurian language |
E82994
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Líguru
Líguru is another name for the Ligurian language, a Romance language traditionally spoken in the Liguria region of northwestern Italy and nearby areas.
|
E320233
|
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: Líguru | Statement: [Ligurian language, hasAlternativeName, Líguru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Líguru Context triple: [Ligurian language, hasAlternativeName, Líguru]
-
A.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
B.
Luri
Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
-
C.
Lutjegast
Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
-
D.
Lihir
Lihir is an Oceanic language spoken primarily on the Lihir Islands of Papua New Guinea.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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: Líguru Triple: [Ligurian language, hasAlternativeName, Líguru]
Generated description
Líguru is another name for the Ligurian language, a Romance language traditionally spoken in the Liguria region of northwestern Italy and nearby areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Líguru Target entity description: Líguru is another name for the Ligurian language, a Romance language traditionally spoken in the Liguria region of northwestern Italy and nearby areas.
-
A.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
B.
Luri
Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
-
C.
Lutjegast
Lutjegast is a small village in the province of Groningen in the Netherlands, best known as the birthplace of the 17th-century Dutch explorer Abel Tasman.
-
D.
Lihir
Lihir is an Oceanic language spoken primarily on the Lihir Islands of Papua New Guinea.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2bb60c8190b1721f832f2581a1 |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dec577d481909a659607c17983ce |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df61bb208190b7714ff14ff81a99 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1dfd8fc5481908f1e130226d606fb |
completed | March 11, 2026, 9:34 p.m. |
Created at: March 8, 2026, 3:01 p.m.