Triple
T20293618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idehan Ubari |
E510089
|
entity |
| Predicate | hasNameOrigin |
P3325
|
FINISHED |
| Object | Ubari town |
E119883
|
NE FINISHED |
How this triple was built (2 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: Ubari town | Statement: [Idehan Ubari, hasNameOrigin, Ubari town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ubari town Context triple: [Idehan Ubari, hasNameOrigin, Ubari town]
-
A.
Ubari
chosen
Ubari is an oasis town in southwestern Libya’s Fezzan region, known for its nearby sand dunes and picturesque desert lakes.
-
B.
Zinder
Zinder is a major city in southern Niger known as an important historical and commercial center in the Sahel region.
-
C.
Mopti
Mopti is a major city in central Mali known as a bustling river port and commercial hub situated at the confluence of the Niger and Bani rivers.
-
D.
Maradi
Maradi is a key commercial and population center in southern Niger, known as one of the country’s largest and most economically important cities.
-
E.
Kaolack
Kaolack is a major city in western Senegal known as a regional commercial hub and center of peanut trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69e0b4c652388190b782cad965e5a098 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e67704262c8190bc903b733d849881 |
completed | April 20, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08611590b481909235d7bbec2387bd |
completed | May 16, 2026, 12:20 p.m. |
Created at: April 16, 2026, 11:13 a.m.