Triple
T9533087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marand |
E229943
|
entity |
| Predicate | isCapitalOf |
P204
|
FINISHED |
| Object | Marand County |
E805916
|
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: Marand County | Statement: [Marand, isCapitalOf, Marand County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marand County Context triple: [Marand, isCapitalOf, Marand County]
-
A.
Marand County
chosen
Marand County is an administrative region in East Azerbaijan Province in northwestern Iran, centered around the city of Marand.
-
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.
Firuzkuh County
Firuzkuh County is an administrative subdivision in northeastern Tehran Province, Iran, known for its mountainous terrain, cold climate, and natural attractions.
-
D.
Pakdasht County
Pakdasht County is an administrative subdivision in Iran located southeast of Tehran, known for its agricultural activities and proximity to the capital.
-
E.
Sabzevar County
Sabzevar County is an administrative region in Razavi Khorasan Province in northeastern Iran, known for its historical significance and cultural heritage.
- 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_69cd98b5651881908241b040f123c6a8 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d15275e4c08190a8aeb02caff052d8 |
completed | April 4, 2026, 6:03 p.m. |
Created at: March 30, 2026, 8 p.m.