Triple
T16151141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European side of Istanbul |
E391910
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Başakşehir |
E646547
|
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: Başakşehir | Statement: [European side of Istanbul, hasPart, Başakşehir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Başakşehir Context triple: [European side of Istanbul, hasPart, Başakşehir]
-
A.
Başakşehir
chosen
Başakşehir is a modern residential and commercial district on the European side of Istanbul, known for its planned urban development and growing population.
-
B.
Göztepe
Göztepe is a coastal residential neighborhood in Istanbul, Turkey, known for its parks, seaside promenade, and location on the Asian side of the city.
-
C.
Kayserispor
Kayserispor is a professional Turkish football club based in Kayseri that competes in the country’s top leagues.
-
D.
Başakşehir F.K.
Başakşehir F.K. is a professional Turkish football club based in Istanbul that has emerged as a modern, competitive force in the country’s top division.
-
E.
Başakşehir district
Başakşehir district is a modern residential and commercial area on the European side of Istanbul, Turkey, known for its large housing developments and major sports facilities.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d981950819087fdacc7879dca97 |
completed | April 17, 2026, 11:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7a9ebf08190aa21cdff051f4ba2 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.