Triple
T24442219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vittorio Ambrosio |
E616295
|
entity |
| Predicate | laterSideInConflict |
P61841
|
FINISHED |
| Object | co-belligerent Italy after 1943 armistice |
—
|
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: co-belligerent Italy after 1943 armistice | Statement: [Vittorio Ambrosio, laterSideInConflict, co-belligerent Italy after 1943 armistice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterSideInConflict Context triple: [Vittorio Ambrosio, laterSideInConflict, co-belligerent Italy after 1943 armistice]
-
A.
locatedOnSideOfConflict
Indicates that an entity is positioned or aligned on a particular side or faction within a conflict.
-
B.
conflictSide
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
C.
partnerInConflictWith
Indicates that two entities are engaged as opposing partners or sides within the same conflict or dispute.
-
D.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
E.
conflictSideContext
chosen
Indicates that an entity participates in a conflict on a particular side, within a specified contextual framing (such as time, place, or specific phase of the conflict).
- 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_69e2d7ec44b081909ccaf1f3bbec0641 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2985129cc8190b5c99747d2dbcac8 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.