Triple
T9611800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoy |
E232118
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Khoy County |
E812466
|
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: Khoy County | Statement: [Khoy, partOf, Khoy County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoy County Context triple: [Khoy, partOf, Khoy County]
-
A.
Khoy County
chosen
Khoy County is an administrative division in Iran’s West Azerbaijan Province, centered on the historic city of Khoy near the Turkish border.
-
B.
Firuzkuh County
Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
-
C.
Pakdasht County
Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
-
D.
Marvdasht County
Marvdasht County is an administrative region in Fars Province, Iran, known for encompassing important ancient Persian archaeological sites including the area around Pasargadae.
-
E.
Pishva County
Pishva County is an administrative subdivision in northern Iran known for its location within Tehran Province and its proximity to the capital city.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a87764481909ab96cd2ab96d14b |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189f4e994819088c55856bf79621d |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:09 p.m.