Triple
T24033721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multinational Force in Lebanon |
E595170
|
entity |
| Predicate | notableCasualtyEvent |
P35438
|
FINISHED |
| Object | suicide truck bomb attacks on U.S. Marine and French paratrooper barracks in 1983 |
—
|
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: suicide truck bomb attacks on U.S. Marine and French paratrooper barracks in 1983 | Statement: [Multinational Force in Lebanon, notableCasualtyEvent, suicide truck bomb attacks on U.S. Marine and French paratrooper barracks in 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCasualtyEvent Context triple: [Multinational Force in Lebanon, notableCasualtyEvent, suicide truck bomb attacks on U.S. Marine and French paratrooper barracks in 1983]
-
A.
casualtiesAssociatedWithEvent
chosen
Indicates that certain casualties (deaths or injuries) are linked to, or resulted from, a specific event.
-
B.
notableStoryEvent
Indicates that an event plays a significant or memorable role within the narrative or storyline associated with the subject.
-
C.
notableDeathTollEvent
Indicates that an event is characterized by causing an unusually large or historically significant number of deaths.
-
D.
notableEventMentionedIn
Indicates that a particular notable event is referenced or discussed within a specified source or document.
-
E.
numberOfDeathsInNotableEvent
Indicates the total count of deaths that occurred as a result of a specified notable event.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d0ec8081908f98e78944bff040 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 9:56 p.m.