Triple
T32244311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Payne |
E823704
|
entity |
| Predicate | conditionOfBomb |
P88555
|
FINISHED |
| Object | bus explodes if speed drops below 50 mph |
—
|
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: bus explodes if speed drops below 50 mph | Statement: [Howard Payne, conditionOfBomb, bus explodes if speed drops below 50 mph]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionOfBomb Context triple: [Howard Payne, conditionOfBomb, bus explodes if speed drops below 50 mph]
-
A.
detonationCondition
chosen
Indicates the specific circumstances or triggers under which a detonation occurs or is initiated.
-
B.
designedToBomb
Indicates that something was intentionally created or configured for the purpose of bombing a target.
-
C.
numberOfFailedBombs
Indicates the count of bombs associated with an entity that did not successfully detonate or function as intended.
-
D.
numberOfBombs
Indicates the quantity of bombs associated with a given entity or situation.
-
E.
bombType
Indicates the specific kind or category of bomb associated with an event, object, or action.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:40 a.m.