Triple
T11623682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bursa Province |
E276205
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Yıldırım |
E113900
|
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: Yıldırım | Statement: [Bursa Province, containsCity, Yıldırım]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yıldırım Context triple: [Bursa Province, containsCity, Yıldırım]
-
A.
Yıldırım
chosen
Yıldırım is the epithet of Ottoman sultan Bayezid I, renowned for his swift and aggressive military campaigns that rapidly expanded the empire.
-
B.
Atakule
Atakule is a prominent observation and communications tower in Ankara, Turkey, known for its panoramic city views and revolving restaurant.
-
C.
Baltalimanı
Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
-
D.
Rumelifeneri
Rumelifeneri is a coastal village and historic lighthouse area on the European side of the Bosphorus in Istanbul, Turkey.
-
E.
Sarıoğlan
Sarıoğlan is a town and district in central Turkey known for its rural character and location within the Central Anatolia region.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a122a3708190ab6513dad4c4fde7 |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87745b388190a78958fa0c08b89b |
completed | April 26, 2026, 9:45 p.m. |
Created at: April 8, 2026, 9:39 p.m.