Triple
T2791510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamphylia |
E61938
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Termessos |
E95315
|
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: Termessos | Statement: [Pamphylia, hasMajorCity, Termessos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Termessos Context triple: [Pamphylia, hasMajorCity, Termessos]
-
A.
Termessos
chosen
Termessos is an ancient Pisidian city in southwestern Turkey, renowned for its well-preserved ruins dramatically set high in the Taurus Mountains within a national park.
-
B.
Ialysos
Ialysos is a town and seaside resort on the northwest coast of the Greek island of Rhodes, known for its beaches and archaeological remains from ancient Ialysos.
-
C.
Didyma
Didyma was an ancient Greek sanctuary in Ionia famed for its monumental Temple of Apollo and influential oracle.
-
D.
Eresos
Eresos is a historic coastal village on the Greek island of Lesbos, known as the birthplace of the ancient poet Sappho and for its scenic beaches.
-
E.
Aspendos
Aspendos is an ancient Greco-Roman city in southern Turkey renowned for its remarkably well-preserved Roman theater.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddcfe19c81908f94dd449f18a2c2 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d5d830081909b4f5c9ec6188377 |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 9:58 p.m.