Triple
T21848815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabzevar County |
E539446
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Khorasan |
—
|
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: Khorasan | Statement: [Sabzevar County, historicalRegion, Khorasan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khorasan Context triple: [Sabzevar County, historicalRegion, Khorasan]
-
A.
Khorasan
chosen
Khorasan is a historical region in northeastern Iran and surrounding areas that served as a major cultural and political center in various Persian and Islamic empires.
-
B.
Khurashan
Khurashan was a Georgian noblewoman known primarily as the wife of King Levan of Kakheti in the 16th century.
-
C.
Sistan
Sistan is a historical and geographical region in southeastern Iran and southwestern Afghanistan, known for its arid climate, ancient civilizations, and strategic location along historic trade routes.
-
D.
Transoxiana
Transoxiana is a historic region of Central Asia, centered between the Amu Darya and Syr Darya rivers, that served as a major cultural and commercial crossroads along the Silk Road.
-
E.
Fars
Fars is a historic province in southwestern Iran regarded as the cultural heartland of the Persian people and the birthplace of the Persian language.
- 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.