Triple
T7681324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zülfü Livaneli |
E173999
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Ilgın |
E449750
|
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: Ilgın | Statement: [Zülfü Livaneli, birthPlace, Ilgın]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilgın Context triple: [Zülfü Livaneli, birthPlace, Ilgın]
-
A.
Ilgın
chosen
Ilgın is a town and district in Turkey’s Konya Province, known for its thermal springs and agricultural activities.
-
B.
Gürbulak
Gürbulak is a Turkish border village and crossing point on the frontier with Iran, serving as a key gateway between the two countries.
-
C.
Sındırgı
Sındırgı is a town and district in western Turkey known for its natural hot springs, traditional handicrafts, and rural Aegean landscape.
-
D.
Derince
Derince is an industrial and port city located on the Sea of Marmara in northwestern Turkey.
-
E.
Kaymaklı
Kaymaklı is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and historical use as a refuge.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a24de3a48190a92009b6092b09d0 |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4:01 p.m.