Triple
T36705833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chisso Corporation |
E906357
|
entity |
| Predicate | pollutedBodyOfWater |
P90970
|
FINISHED |
| Object | Minamata Bay |
—
|
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: Minamata Bay | Statement: [Chisso Corporation, pollutedBodyOfWater, Minamata Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollutedBodyOfWater Context triple: [Chisso Corporation, pollutedBodyOfWater, Minamata Bay]
-
A.
affectsWaterBody
chosen
Indicates that one entity has an impact on the condition, quality, or state of a water body.
-
B.
flowsIntoBodyOfWaterAt
Indicates that one body of water moves or drains into another body of water at a specific location or point.
-
C.
flowsIntoBodyOfWaterNear
Indicates that one body of water flows into another body of water at or near a specific location.
-
D.
involvesBodyOfWater
Indicates that the relationship or event includes, affects, or takes place in connection with a body of water such as a sea, lake, river, or ocean.
-
E.
surfaceWater
Indicates that one entity consists of or contains surface-level water associated with another entity.
- F. None of above.
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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c80f84248190a9b3276c180191d2 |
completed | May 3, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f7c4796ebc819084a0dc08505e5f14 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:12 p.m.