Triple
T18987705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anahita |
E464598
|
entity |
| Predicate | hasCultCenter |
P1191
|
FINISHED |
| Object | Kangavar |
—
|
NE NERFINISHED |
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: Kangavar | Statement: [Anahita, hasCultCenter, Kangavar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kangavar Context triple: [Anahita, hasCultCenter, Kangavar]
-
A.
Kangavar
chosen
Kangavar is a historic town in western Iran, known for its archaeological remains including a large terraced complex traditionally associated with a temple of Anahita.
-
B.
Sorkheh
Sorkheh is a small city in north-central Iran known for its location within Semnan Province and its semi-arid climate.
-
C.
Pishva
Pishva is a city in Tehran Province, Iran, known as an administrative and local commercial center for the surrounding region.
-
D.
Zanjanrud
Zanjanrud is a river in northwestern Iran that flows through the city of Zanjan and its surrounding region.
-
E.
Oshnavieh
Oshnavieh is a small city in northwestern Iran known for its Kurdish population and mountainous surroundings near the border with Iraq.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6618ab881909c0ed94930e42e68 |
completed | April 20, 2026, 7:31 a.m. |
Created at: April 10, 2026, 12:01 p.m.