Triple
T5979618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thompson-Hayward Chemical Company |
E133085
|
entity |
| Predicate | associatedWithHealthImpact |
P4720
|
FINISHED |
| Object | dioxin-related health effects linked to Agent Orange exposure |
—
|
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: dioxin-related health effects linked to Agent Orange exposure | Statement: [Thompson-Hayward Chemical Company, associatedWithHealthImpact, dioxin-related health effects linked to Agent Orange exposure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHealthImpact Context triple: [Thompson-Hayward Chemical Company, associatedWithHealthImpact, dioxin-related health effects linked to Agent Orange exposure]
-
A.
associatedWithUse
Indicates a relationship where one entity is connected to or involved in the use or utilization of another entity.
-
B.
hasHealthConcern
chosen
Indicates that an entity has a specific health-related issue, condition, or concern associated with it.
-
C.
healthEffect
Indicates the impact or consequence that one entity has on the health or well-being of another.
-
D.
associatedConflictImpact
Indicates a relationship where an entity is linked to a specific conflict and the effects or consequences that conflict has on it.
-
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.