Triple
T25805510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daegu subway fire |
E649957
|
entity |
| Predicate | materialContributingFactor |
P25885
|
FINISHED |
| Object | combustible seat cushions |
—
|
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: combustible seat cushions | Statement: [Daegu subway fire, materialContributingFactor, combustible seat cushions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: materialContributingFactor Context triple: [Daegu subway fire, materialContributingFactor, combustible seat cushions]
-
A.
materialContributionTo
Indicates that one entity provides a physical substance or component that forms part of, or is used to create, another entity.
-
B.
fallContributedTo
Indicates that one event, condition, or factor played a role in causing or leading to a particular fall.
-
C.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
materialInvolved
chosen
Indicates that a particular material participates in, is used by, or is otherwise involved in the referenced process, event, or relationship.
-
E.
causesFeaturesIn
Indicates that one entity is responsible for producing, giving rise to, or bringing about specific characteristics or features in 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 7:02 a.m.