Triple
T7843288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Clement of Ancyra |
E181855
|
entity |
| Predicate | diedIn |
P21
|
FINISHED |
| Object | Ancyra |
E81002
|
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: Ancyra | Statement: [Saint Clement of Ancyra, diedIn, Ancyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ancyra Context triple: [Saint Clement of Ancyra, diedIn, Ancyra]
-
A.
Ancyra
chosen
Ancyra is the ancient name of the city now known as Ankara, the capital of modern Turkey and a historically significant center in Anatolia.
-
B.
Niksar
Niksar is a town in modern-day Turkey, historically significant as the site of the ancient city of Neocaesarea in the region of Pontus.
-
C.
Aspendos
Aspendos is an ancient Greco-Roman city in southern Turkey renowned for its remarkably well-preserved Roman theater.
-
D.
Cyzicus
Cyzicus was an ancient Greek city in Mysia on the southern coast of the Sea of Marmara, known as a significant commercial and cultural center in classical antiquity.
-
E.
Isparta
Isparta is a city in southwestern Turkey known for its rose cultivation and production of rose oil and related products.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb163b32688190b463a9cd8fa3c690 |
completed | March 31, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdf0dee3881908f817427143cf774 |
completed | March 31, 2026, 2:49 p.m. |
Created at: March 30, 2026, 4:48 p.m.