Triple
T12353555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uçhisar |
E294551
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Ortahisar |
E294552
|
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: Ortahisar | Statement: [Uçhisar, near, Ortahisar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ortahisar Context triple: [Uçhisar, near, Ortahisar]
-
A.
Ortahisar
chosen
Ortahisar is a town in Turkey’s Cappadocia region, known for its towering rock castle, cave dwellings, and traditional stone architecture.
-
B.
Şereflikoçhisar
Şereflikoçhisar is a district and town in central Turkey known for its proximity to the vast Tuz Gölü (Salt Lake) and its salt production.
-
C.
Ankara Castle
Ankara Castle is a historic hilltop fortress in Turkey’s capital, offering panoramic views of the city and reflecting layers of Roman, Byzantine, and Ottoman heritage.
-
D.
Afyonkarahisar
Afyonkarahisar is a historic city in western Turkey known for its strategic location, thermal springs, and prominent rock fortress overlooking the urban center.
-
E.
Derinkuyu
Derinkuyu is an ancient multi-level underground city in Turkey’s Cappadocia region, renowned for its extensive tunnels, living quarters, and capacity to shelter thousands of people.
- 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_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab2dc30819082b12fa35f585762 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.