Triple
T17948260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tughril |
E448760
|
entity |
| Predicate | regionRuled |
P15936
|
FINISHED |
| Object | Nishapur |
—
|
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: Nishapur | Statement: [Tughril, regionRuled, Nishapur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nishapur Context triple: [Tughril, regionRuled, Nishapur]
-
A.
Nishapur
Nishapur is an ancient city in northeastern Iran that flourished as a major political, commercial, and intellectual hub along the Silk Road, especially during the early Islamic and Abbasid periods.
-
B.
Nurabad
Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
-
C.
Istakhr
Istakhr was an ancient city in southwestern Iran that served as an early political and religious center for the Sasanian dynasty near the ruins of Persepolis.
-
D.
Neyshabur
chosen
Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
-
E.
Salmas
Salmas is a historic city in Iran's West Azerbaijan Province, known for its diverse cultural heritage and location in the northwestern part of the country.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afa9cb2481908c95f8c430dcc0aa |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.