Triple
T19292032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyüp, Istanbul |
E482465
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Sultangazi |
—
|
NE NERFINISHED |
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: Sultangazi | Statement: [Eyüp, Istanbul, adjacentTo, Sultangazi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sultangazi Context triple: [Eyüp, Istanbul, adjacentTo, Sultangazi]
-
A.
Sultangazi
chosen
Sultangazi is a densely populated urban district on the European side of Istanbul, Turkey, known for its diverse working-class communities and rapid development.
-
B.
Suleja
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
C.
Saryati
Saryati is a figure in Hindu mythology known as one of the sons of the progenitor Shraddhadeva Manu and a king mentioned in ancient texts.
-
D.
Sangisari
Sangisari is an Iranian language spoken by the Sangisari people in the Semnan Province of north-central Iran.
-
E.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc819a7881909a7afbd06d9dd3f0 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.