Triple
T16862811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa Büyükşehir Belediye Stadyumu |
E409962
|
entity |
| Predicate | cityDistrict |
P2709
|
FINISHED |
| Object | Nilüfer |
E938259
|
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: Nilüfer | Statement: [Bursa Büyükşehir Belediye Stadyumu, cityDistrict, Nilüfer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nilüfer Context triple: [Bursa Büyükşehir Belediye Stadyumu, cityDistrict, Nilüfer]
-
A.
Nilüfer
chosen
Nilüfer is a modern district and rapidly developing residential and commercial area within the city of Bursa in northwestern Turkey.
-
B.
Hülya
Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
-
C.
Nergiz
Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
-
D.
Nuri
Nuri is an ancient archaeological site in northern Sudan that served as a royal necropolis for Nubian kings and queens, featuring a significant concentration of Kushite pyramids.
-
E.
Nuri
Nuri is South Korea’s domestically developed three-stage orbital launch vehicle designed to place satellites into low Earth orbit.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b50488fc8190b3b646543c3ba476 |
completed | April 18, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb274ba48190951acde0821e05a0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.