Triple
T5979635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thompson-Hayward Chemical Company |
E133085
|
entity |
| Predicate | associatedWithPopulationImpact |
P43904
|
FINISHED |
| Object | health impacts on Vietnamese civilians |
—
|
LITERAL 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: health impacts on Vietnamese civilians | Statement: [Thompson-Hayward Chemical Company, associatedWithPopulationImpact, health impacts on Vietnamese civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithPopulationImpact Context triple: [Thompson-Hayward Chemical Company, associatedWithPopulationImpact, health impacts on Vietnamese civilians]
-
A.
demographicImpact
Indicates how an action, event, or condition affects the size, structure, or composition of a population.
-
B.
impactOnHumans
chosen
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
C.
usedByPopulation
Indicates that something is utilized or consumed by a specific population or group of people.
-
D.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
E.
recognizesImpactOn
Indicates that one entity acknowledges or understands the effect or consequences it has on another entity or situation.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc2243c8190bd3488e7b24af985 |
completed | March 22, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c049dcb3c081908ccc9b4d4b210229 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.