Triple
T19292029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyüp, Istanbul |
E482465
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Fatih |
—
|
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: Fatih | Statement: [Eyüp, Istanbul, adjacentTo, Fatih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatih Context triple: [Eyüp, Istanbul, adjacentTo, Fatih]
-
A.
Fatih
Fatih is a common Turkish male given name, notably borne by the famous football manager Fatih Terim.
-
B.
Fatih, Istanbul
chosen
Fatih is a historic central district of Istanbul known for its dense concentration of Ottoman-era architecture, religious institutions, and educational establishments.
-
C.
Eyüpsultan
Eyüpsultan is a historic district on the European side of Istanbul, renowned for its important Islamic sites, including the Eyüp Sultan Mosque and its adjacent cemetery.
-
D.
Mustafakemalpaşa
Mustafakemalpaşa is a town and district in northwestern Turkey known for its agricultural production and historical connection to Mustafa Kemal Atatürk.
-
E.
Nazilli
Nazilli is a town and district in Turkey’s Aydın Province, known for its agricultural production and location in the fertile Büyük Menderes River valley.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc819a7881909a7afbd06d9dd3f0 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.