Triple
T23478897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeytinburnu |
E570346
|
entity |
| Predicate | borders |
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: [Zeytinburnu, borders, Fatih]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fatih Context triple: [Zeytinburnu, borders, 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.
Muradiye
Muradiye is a town and district in eastern Turkey’s Van Province, known for its proximity to Lake Van and its scenic Muradiye Waterfalls.
-
D.
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.
-
E.
Fatih Municipality
Fatih Municipality is the local government authority responsible for administering Istanbul’s historic Fatih district, which includes central neighborhoods such as Beyazıt.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a74e7e648190b89006dce7d7ce05 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:02 p.m.