Triple
T14815169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alton, Texas |
E348292
|
entity |
| Predicate | busCrashDescription |
P115834
|
FINISHED |
| Object | school bus plunged into caliche pit filled with water after collision with truck |
—
|
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: school bus plunged into caliche pit filled with water after collision with truck | Statement: [Alton, Texas, busCrashDescription, school bus plunged into caliche pit filled with water after collision with truck]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busCrashDescription Context triple: [Alton, Texas, busCrashDescription, school bus plunged into caliche pit filled with water after collision with truck]
-
A.
resultOfAccident
Indicates that something exists or occurs as a consequence or outcome of an accident.
-
B.
involvedInAccident
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
C.
consequenceOfCollision
Indicates that one event, state, or condition occurs as a direct result of a collision between entities.
-
D.
accidentPhase
Indicates the specific stage or phase of progression within an accident or incident event.
-
E.
accidentType
Indicates the specific category or kind of accident associated with an event or incident.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe0e89c81908c0e1fe2bc3ebcfc |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de8f4b67cc8190b84b59fcec5cf579 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 10, 2026, 1:49 a.m.