Triple
T36705835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chisso Corporation |
E906357
|
entity |
| Predicate | locationOfIndustrialPlant |
P121502
|
FINISHED |
| Object | Minamata, Kumamoto Prefecture |
E262987
|
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: Minamata, Kumamoto Prefecture | Statement: [Chisso Corporation, locationOfIndustrialPlant, Minamata, Kumamoto Prefecture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfIndustrialPlant Context triple: [Chisso Corporation, locationOfIndustrialPlant, Minamata, Kumamoto Prefecture]
-
A.
plantLocation
chosen
Indicates the location where a plant is situated, grown, or found.
-
B.
hasIndustrialPlant
Indicates that an entity possesses, operates, or is associated with an industrial plant facility.
-
C.
powerplantLocation
Indicates that a power plant is situated at or associated with a specific geographic location.
-
D.
nearbyIndustrialInstallation
Indicates that one entity is located close to an industrial facility or installation.
-
E.
treatmentPlantLocation
Indicates the geographic location where a treatment plant is situated or operates.
- F. None of above.
Provenance (4 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3a382bca9c8190b11455a1ab569546 |
completed | June 23, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_6a037a0e039481908a4a2666f76c5363 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:12 p.m.