Triple
T6474635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1983 Beirut barracks bombings |
E146038
|
entity |
| Predicate | timeOfFirstExplosion |
P18902
|
FINISHED |
| Object | 06:22 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: 06:22 local time | Statement: [1983 Beirut barracks bombings, timeOfFirstExplosion, 06:22 local time]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfFirstExplosion Context triple: [1983 Beirut barracks bombings, timeOfFirstExplosion, 06:22 local time]
-
A.
timeOfDetonation
chosen
Indicates the specific point in time at which a detonation event occurs.
-
B.
firstShotsFiredAt
Indicates the location or time at which the initial gunshots or opening fire in an incident occurred.
-
C.
explosionDateApprox
Indicates that an explosion occurred on or around a specified date, where the exact date is not known or is only approximate.
-
D.
timeOfMassExpulsion
Indicates the specific time at which a mass expulsion event occurs or is carried out.
-
E.
numberOfExplosions
Indicates the count of distinct explosion events associated with an entity or situation.
- 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_69c008fec7408190af7b146dc63d9750 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a341360819082f2b5496a1a68b0 |
completed | March 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:50 p.m.