Triple
T23531406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sar-e Pol Province |
E576580
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Sar-e Pol |
—
|
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: Sar-e Pol | Statement: [Sar-e Pol Province, capital, Sar-e Pol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sar-e Pol Context triple: [Sar-e Pol Province, capital, Sar-e Pol]
-
A.
Sar-e Pol
chosen
Sar-e Pol is a provincial capital city in northern Afghanistan known for its strategic location and role as an administrative and commercial center in the region.
-
B.
Bavanat
Bavanat is a small city in southern Iran known for its traditional rural landscapes, gardens, and location within the mountainous region of Fars Province.
-
C.
Khormuj
Khormuj is a city in southern Iran that serves as a local urban center within Bushehr Province.
-
D.
Sarbisheh
Sarbisheh is a city in eastern Iran that serves as a local administrative and population center within South Khorasan Province.
-
E.
Shahrud
Shahrud is a major city in northeastern Iran known as an important regional hub for transportation, agriculture, and access to nearby natural attractions such as the Alborz Mountains and desert landscapes.
- 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac78581c8190bd9d09ce2be8029d |
completed | April 29, 2026, 7 a.m. |
Created at: April 17, 2026, 6:09 p.m.