Triple
T743123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity |
E15285
|
entity |
| Predicate | timeOfDetonation |
P18902
|
FINISHED |
| Object | 05:29 local time |
—
|
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: 05:29 local time | Statement: [Trinity, timeOfDetonation, 05:29 local time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDetonation Context triple: [Trinity, timeOfDetonation, 05:29 local time]
-
A.
detonatedOver
Indicates that one entity caused an explosion or detonation to occur above or over another entity or location.
-
B.
hasAltitudeOfDetonation
Indicates that an explosive event or detonation occurs at a specified altitude above a reference level (typically ground or sea level).
-
C.
explosionAltitude
Indicates the height above a reference surface at which an explosion occurs or is triggered.
-
D.
numberOfExplosions
Indicates the count of distinct explosion events associated with an entity or situation.
-
E.
firstShotsFiredAt
Indicates the location or time at which the initial gunshots or opening fire in an incident occurred.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a5a35c68819082429755c046e9a7 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.