Triple
T11823878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | carbolic acid |
E281207
|
entity |
| Predicate | isCorrosiveTo |
P6478
|
FINISHED |
| Object | skin |
—
|
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: skin | Statement: [carbolic acid, isCorrosiveTo, skin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCorrosiveTo Context triple: [carbolic acid, isCorrosiveTo, skin]
-
A.
containsChemical
Indicates that one entity includes or has within it a specified chemical substance.
-
B.
toxicTo
chosen
Indicates that one entity causes harm, poisoning, or adverse effects to another when exposed or applied.
-
C.
toxinType
Indicates the specific kind or category of toxin associated with an entity.
-
D.
isLessFlammableThan
Indicates that one entity has a lower tendency to catch fire or burn than another entity.
-
E.
chemicallyRelatedTo
Indicates a relationship where two entities are connected through a chemical association, such as sharing structural features, participating in related reactions, or being derivable from one another chemically.
- 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_69d6ab276f8c8190b1966a0ef11349ac |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5e9c50481909b2287a0b23d2094 |
completed | April 10, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69d8a251fc08819095933f1d13c3b742 |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.