Triple
T12353806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melendiz Mountains |
E294556
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Niğde |
E315498
|
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: Niğde | Statement: [Melendiz Mountains, nearbySettlement, Niğde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Niğde Context triple: [Melendiz Mountains, nearbySettlement, Niğde]
-
A.
Niğde
chosen
Niğde is a historic city in south-central Turkey known for its ancient ruins, Seljuk and Ottoman architecture, and its location near the Taurus Mountains and Cappadocia.
-
B.
Kermanshah
Kermanshah is a major city in western Iran known for its rich Kurdish culture and proximity to important historical and archaeological sites.
-
C.
Ardabil
Ardabil is a historic city in northwestern Iran known for its cultural heritage, including the UNESCO-listed Sheikh Safi al-Din Khānegāh and Shrine Ensemble.
-
D.
Margilan
Margilan is a historic city in eastern Uzbekistan renowned as a traditional center of silk production and trade along the Silk Road.
-
E.
Sardasht
Sardasht is a Kurdish-populated city in Iran’s West Azerbaijan province, historically known for being one of the first civilian targets of large-scale chemical weapons attacks during the Iran–Iraq War.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b90779881909893d1e6877ce567 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:54 p.m.