Triple
T8096729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iran Daylight Time |
E189003
|
entity |
| Predicate | observedInCity |
P4810
|
FINISHED |
| Object | Yasuj |
E213917
|
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: Yasuj | Statement: [Iran Daylight Time, observedInCity, Yasuj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasuj Context triple: [Iran Daylight Time, observedInCity, Yasuj]
-
A.
Yasuj
chosen
Yasuj is a city in southwestern Iran that serves as the capital of Kohgiluyeh and Boyer-Ahmad Province.
-
B.
Yabu
Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
-
C.
Yonashiro
Yonashiro was a former town in Okinawa Prefecture, Japan, that later became part of the city of Uruma through municipal merger.
-
D.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
E.
Yamakita
Yamakita is a rural town in Kanagawa Prefecture, Japan, known for its mountainous terrain, hot springs, and access to outdoor activities such as hiking and river sports.
- 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_69ca82b886d88190a9cba0d5a4a27521 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb429319048190b612c8060a9a24d2 |
completed | March 31, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9407df3481908353e8468b49e6bc |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:30 p.m.