Triple
T10978623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yonezawa beef |
E259437
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Yonezawa city |
E1100755
|
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: Yonezawa city | Statement: [Yonezawa beef, associatedWith, Yonezawa city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yonezawa city Context triple: [Yonezawa beef, associatedWith, Yonezawa city]
-
A.
Yonezawa City
chosen
Yonezawa City is a historic castle town in southern Yamagata Prefecture, Japan, known for its samurai heritage, hot springs, and renowned Yonezawa beef.
-
B.
Obanazawa City
Obanazawa City is a municipality in northeastern Japan known for its hot springs, snowy climate, and production of watermelons.
-
C.
Tsuruoka City
Tsuruoka City is a coastal city in northern Japan known for its rich culinary culture, historic temples, and designation as a UNESCO Creative City of Gastronomy.
-
D.
Nobeoka City
Nobeoka City is a coastal city in southeastern Kyushu, Japan, known for its chemical and electronics industries and scenic natural surroundings.
-
E.
Iwanuma City
Iwanuma City is a coastal municipality in northeastern Japan known for its agricultural landscape and proximity to Sendai in Miyagi Prefecture.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d771f7b874819087bf5a858905279b |
completed | April 9, 2026, 9:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56ade75c8190b556c3b0ba692a96 |
completed | May 9, 2026, 3:45 p.m. |
Created at: April 8, 2026, 9:24 p.m.