Triple
T9533164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarab |
E229945
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Sarab County |
E808282
|
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: Sarab County | Statement: [Sarab, capitalOf, Sarab County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarab County Context triple: [Sarab, capitalOf, Sarab County]
-
A.
Sarab County
chosen
Sarab County is an administrative division in East Azerbaijan Province, Iran, centered on the city of Sarab and known for its agricultural activities and hot springs.
-
B.
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.
-
C.
Marand County
Marand County is an administrative region in East Azerbaijan Province in northwestern Iran, centered around the city of Marand.
-
D.
Firuzkuh County
Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
-
E.
Amol County
Amol County is an administrative division in Mazandaran Province in northern Iran, known for its historical significance and proximity to the Alborz Mountains and the Caspian Sea.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98c9fef88190beb291b41ee26066 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d178f1d06c81908d2d065834405e88 |
completed | April 4, 2026, 8:47 p.m. |
Created at: March 30, 2026, 8 p.m.