Triple
T10594192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinhidaka |
E250065
|
entity |
| Predicate | hasFormerTownWithin |
P5557
|
FINISHED |
| Object | Mitsushō |
E873451
|
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: Mitsushō | Statement: [Shinhidaka, hasFormerTownWithin, Mitsushō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsushō Context triple: [Shinhidaka, hasFormerTownWithin, Mitsushō]
-
A.
Mitsushō
chosen
Mitsushō was a former town in Hokkaido, Japan, that later became part of the newly created town of Shinhidaka through a municipal merger.
-
B.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
-
C.
Obayashi Corporation
Obayashi Corporation is a major Japanese construction and engineering company known for its involvement in large-scale infrastructure and building projects worldwide.
-
D.
Nippon Kobo
Nippon Kobo was a Japanese design and architecture firm active in the mid-20th century, known for its collaborations with prominent modernist designers such as Charlotte Perriand.
-
E.
Komatsu Limited
Komatsu Limited is a major Japanese multinational corporation that manufactures construction, mining, and military equipment.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5280da8bc8190a2a7c90dbc17ea70 |
completed | April 7, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b6109f08190915953e0ab708981 |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 6, 2026, 12:41 p.m.