Triple
T17893363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kapudan Pasha |
E447373
|
entity |
| Predicate | seatOfOffice |
P761
|
FINISHED |
| Object | Galata |
—
|
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: Galata | Statement: [Kapudan Pasha, seatOfOffice, Galata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galata Context triple: [Kapudan Pasha, seatOfOffice, Galata]
-
A.
Galata, Istanbul
chosen
Galata, Istanbul is a historic waterfront district on the northern shore of the Golden Horn, known for its Genoese-era tower, commercial heritage, and role as a financial and cultural hub of the city.
-
B.
Eminönü
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.
-
C.
Ortahisar
Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
-
D.
Galata Tower
Galata Tower is a historic medieval stone tower in Istanbul, Turkey, renowned for its panoramic views over the city and the Bosphorus.
-
E.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7b57bc8190995e40134215cdfd |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 10, 2026, 10:19 a.m.