Triple
T5703891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent State shootings |
E125735
|
entity |
| Predicate | durationOfFiring |
P65677
|
FINISHED |
| Object | approximately 13 seconds |
—
|
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: approximately 13 seconds | Statement: [Kent State shootings, durationOfFiring, approximately 13 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfFiring Context triple: [Kent State shootings, durationOfFiring, approximately 13 seconds]
-
A.
eraDuration
Indicates the length of time that a particular era or period spans.
-
B.
effectDuration
Indicates the length of time for which an effect remains active or valid.
-
C.
interruptionDuration
Indicates the length of time for which an ongoing activity, process, or state is temporarily halted or disrupted.
-
D.
estimatedBurnDuration
Indicates the expected length of time that something is predicted to burn or remain burning.
-
E.
durationOfUse
Indicates the length of time for which something is used or remains in use.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024585d14819098ec34fd5a858836 |
completed | March 22, 2026, 5:18 p.m. |
| PD | Predicate disambiguation | batch_69c021c2d8bc8190b947c7d1f423d2f3 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c023dfec6881909ee6189b874b4348 |
completed | March 22, 2026, 5:16 p.m. |
Created at: March 22, 2026, 3:45 p.m.