Triple
T21848778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabzevar County |
E539446
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Sabzevar |
—
|
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: Sabzevar | Statement: [Sabzevar County, hasCity, Sabzevar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabzevar Context triple: [Sabzevar County, hasCity, Sabzevar]
-
A.
Sabzevar
chosen
Sabzevar is a historic and economically significant city in northeastern Iran, known as a regional center of trade, agriculture, and culture in the Khorasan area.
-
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.
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.
-
D.
Zaranj
Zaranj is a key border city in southwestern Afghanistan that serves as an important trade and transit hub with neighboring Iran.
-
E.
Shahreza
Shahreza is a city in central Iran, known for its historical significance and location along major transit routes in Isfahan Province.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.