Triple
T16151137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European side of Istanbul |
E391910
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Bağcılar |
E648171
|
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: Bağcılar | Statement: [European side of Istanbul, hasPart, Bağcılar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bağcılar Context triple: [European side of Istanbul, hasPart, Bağcılar]
-
A.
Bağcılar
chosen
Bağcılar is a densely populated working- and middle-class district on Istanbul’s European side, known as a major residential and transportation hub within the city.
-
B.
Avcılar
Avcılar is a district on the European side of Istanbul, Turkey, known for its residential areas, university campus, and location along the Marmara Sea.
-
C.
Bahçelievler
Bahçelievler is a densely populated residential and commercial district on the European side of Istanbul, Turkey.
-
D.
Bahçelievler
Bahçelievler is a residential neighborhood located within the Karşıyaka district of İzmir, Turkey.
-
E.
Kabataş
Kabataş is a coastal neighborhood in Istanbul, Turkey, known as a major transportation hub with ferry, tram, and funicular connections along the Bosphorus.
- 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_6a003548837c819091695a91f88bd0bc |
completed | May 10, 2026, 7:35 a.m. |
Created at: April 10, 2026, 5:01 a.m.