Triple
T6564884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uripiv-Wala-Rano-Atchin |
E153877
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Rano
Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
|
E603836
|
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: Rano | Statement: [Uripiv-Wala-Rano-Atchin, hasDialect, Rano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rano Context triple: [Uripiv-Wala-Rano-Atchin, hasDialect, Rano]
-
A.
Rano
Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
-
B.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
C.
Sangin
Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
-
D.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
E.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
- 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: Rano Triple: [Uripiv-Wala-Rano-Atchin, hasDialect, Rano]
Generated description
Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rano Target entity description: Rano is a dialect of the Uripiv-Wala-Rano-Atchin language cluster spoken in Vanuatu.
-
A.
Rano
Rano is a historic town and traditional emirate in northern Nigeria, located within Kano State.
-
B.
Ryti
Ryti is the surname of Risto Ryti, who served as President of Finland during World War II.
-
C.
Sangin
Sangin is a town in southern Afghanistan that gained notoriety as a major battleground during the Afghan conflict, particularly involving British and U.S. forces.
-
D.
Morgon
Morgon is a renowned Beaujolais cru in eastern France known for producing relatively structured, age-worthy red wines primarily from the Gamay grape.
-
E.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae3b9ec8819080f3052556d95810 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5622e0481909b0ac0f4e06d19bc |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:52 p.m.