Triple
T7638046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyüp |
E172929
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Eyüpsultan |
E662873
|
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: Eyüpsultan | Statement: [Eyüp, alternativeName, Eyüpsultan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eyüpsultan Context triple: [Eyüp, alternativeName, Eyüpsultan]
-
A.
Eyüpsultan
chosen
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.
-
B.
Fatih
Fatih is a common Turkish male given name, notably borne by the famous football manager Fatih Terim.
-
C.
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.
-
D.
Gaziosmanpaşa
Gaziosmanpaşa is a densely populated residential and commercial district on the European side of Istanbul, known for its rapid urbanization and diverse working- and middle-class communities.
-
E.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facb14188190952de18fa2699784 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be1db7548190a6a6d280922a195d |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 3:57 p.m.