Triple
T10695837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Çorum Province |
E252136
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Yazılıkaya |
E752691
|
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: Yazılıkaya | Statement: [Çorum Province, contains, Yazılıkaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yazılıkaya Context triple: [Çorum Province, contains, Yazılıkaya]
-
A.
Yazılıkaya sanctuary
chosen
The Yazılıkaya sanctuary is a rock-cut Hittite religious complex near the ancient city of Hattusa, featuring open-air chambers adorned with processions of deities carved into the limestone walls.
-
B.
Yazili Tepe
Yazili Tepe is a notable rock art site within Azerbaijan’s Gobustan Rock Art Cultural Landscape, featuring ancient petroglyphs and archaeological remains.
-
C.
Savaştepe
Savaştepe is a town and district in western Turkey, located within the Marmara Region.
-
D.
Anıttepe
Anıttepe is a central hill and neighborhood in Ankara, Turkey, best known as the site of Anıtkabir, the mausoleum of Mustafa Kemal Atatürk.
-
E.
Sancaktepe
Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fd3af5248190ab807965255e9ad2 |
completed | April 9, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbad00f7c8819097566994307c4550 |
completed | April 12, 2026, 2:32 p.m. |
Created at: April 8, 2026, 9:11 p.m.