Triple
T24033724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multinational Force in Lebanon |
E595170
|
entity |
| Predicate | ItalianComponent |
P154592
|
FINISHED |
| Object | Italian ground forces |
—
|
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: Italian ground forces | Statement: [Multinational Force in Lebanon, ItalianComponent, Italian ground forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ItalianComponent Context triple: [Multinational Force in Lebanon, ItalianComponent, Italian ground forces]
-
A.
ItalianObjective
Indicates that an entity has an objective, goal, or target specifically related to Italy or the Italian context.
-
B.
ItalianVersionClaimed
Indicates that an entity asserts or is reported to have an Italian-language version.
-
C.
alignedItalyWith
Indicates that one entity brought Italy into political, military, or ideological agreement or cooperation with another entity.
-
D.
hasAcronymInItalian
Indicates that an entity is associated with an acronym specifically in the Italian language.
-
E.
abbreviationItalian
Indicates that one term is an abbreviation of another term in Italian.
- 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_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. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:56 p.m.