Triple
T1171058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agent Orange |
E24912
|
entity |
| Predicate | containsChemical |
P24581
|
FINISHED |
| Object | 2,4-dichlorophenoxyacetic acid |
—
|
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: 2,4-dichlorophenoxyacetic acid | Statement: [Agent Orange, containsChemical, 2,4-dichlorophenoxyacetic acid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsChemical Context triple: [Agent Orange, containsChemical, 2,4-dichlorophenoxyacetic acid]
-
A.
containsAllergenicCompound
Indicates that the subject entity includes one or more compounds known to cause allergic reactions.
-
B.
hasChemicalFormula
Indicates that one entity (typically a chemical substance) is characterized by or associated with a specific chemical formula representing its elemental composition.
-
C.
primaryChemicalComponent
Indicates that one entity is the main or predominant chemical substance composing another entity.
-
D.
usedInChemistry
Indicates that something is employed or applied within the context of chemistry, such as in chemical processes, experiments, or analyses.
-
E.
formulatedIn
Indicates that something was created, developed, or expressed within a particular context, place, or framework.
- F. None of above. chosen
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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce972cc8190bce0b77cfda6da41 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:45 p.m.