Triple
T9475985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beştepe Millet Camii |
E228518
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Beştepe |
E235355
|
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: Beştepe | Statement: [Beştepe Millet Camii, locatedIn, Beştepe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beştepe Context triple: [Beştepe Millet Camii, locatedIn, Beştepe]
-
A.
Beştepe
chosen
Beştepe is a neighborhood in Ankara, Turkey, best known as the site of the Turkish Presidential Complex.
-
B.
Nişantaşı
Nişantaşı is an upscale neighborhood in Istanbul known for its luxury shopping streets, stylish cafes, and elegant residential buildings.
-
C.
Bağçasaray
Bağçasaray is the Crimean Tatar name for Bakhchisaray, a historic town in Crimea that once served as the capital of the Crimean Khanate.
-
D.
Kartepe
Kartepe is a district and popular winter sports and nature tourism destination located in Turkey’s Kocaeli Province, near the Marmara region.
-
E.
Kasımpaşa
Kasımpaşa is a historic waterfront neighborhood in Istanbul, Turkey, known for its maritime heritage, working-class character, and proximity to the Golden Horn.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff39f48819087e696c2c1ffe638 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122dbd4948190af434d1e0a281f35 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:54 p.m.