Triple
T3863971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rustem Pasha Mosque |
E91805
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Eminönü |
E221497
|
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: Eminönü | Statement: [Rustem Pasha Mosque, locatedIn, Eminönü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eminönü Context triple: [Rustem Pasha Mosque, locatedIn, Eminönü]
-
A.
Eminönü
chosen
Eminönü is a historic waterfront district in Istanbul known for its bustling ferry docks, spice and textile markets, and landmarks like the New Mosque and the Egyptian Bazaar.
-
B.
Ortaköy
Ortaköy is a lively Bosphorus-side neighborhood in Istanbul known for its waterfront mosque, cafes, and views of the Bosporus Bridge.
-
C.
Çekmeköy
Çekmeköy is a residential district on the Asian side of Istanbul, known for its rapidly developing housing areas and proximity to forested green spaces.
-
D.
Çankaya
Çankaya is a central district of Ankara, Turkey, known for housing key government institutions, foreign embassies, and major national landmarks.
-
E.
Yenimahalle
Yenimahalle is a major district of Ankara, Turkey, known for hosting key government institutions and residential areas within the capital.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123ad9188190a158721a6192cdae |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.