Triple
T8834163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadi Fira |
E210222
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Biltine |
E760053
|
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: Biltine | Statement: [Wadi Fira, hasSettlement, Biltine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biltine Context triple: [Wadi Fira, hasSettlement, Biltine]
-
A.
Biltine
chosen
Biltine is a town in eastern Chad that serves as an administrative and regional center in the Wadi Fira area.
-
B.
Bille
The Bille is a small river in northern Germany that flows through the city of Hamburg and into the Elbe.
-
C.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
D.
Bilayn
Bilayn is an alternative name for Bilen, likely referring to the same person, place, or entity under a different spelling or transliteration.
-
E.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60670fa48190b2a873f6498de7f6 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa069d7488190ade4caa15fa83cd9 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:47 p.m.