Triple
T15547924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İsmet Pasha |
E370661
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | İnönü |
E417679
|
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: İnönü | Statement: [İsmet Pasha, hasFamilyName, İnönü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İnönü Context triple: [İsmet Pasha, hasFamilyName, İnönü]
-
A.
İnönü
chosen
İnönü is a prominent Turkish surname most famously associated with İsmet İnönü, a key military leader in the Turkish War of Independence and the second President of Turkey.
-
B.
İnönü
İnönü is a small town and district in northwestern Turkey known for its historical significance in the Turkish War of Independence and its location within Eskişehir Province.
-
C.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
D.
Tevfikiye
Tevfikiye is a village in northwestern Turkey located close to the archaeological site of Hisarlik, widely identified with ancient Troy.
-
E.
Gündoğdu
Gündoğdu is a small settlement located on Marmara Island in northwestern Turkey.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9073948190b6e9cf504aacc7cf |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455c172c8190833274cb98667e84 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:08 a.m.