Triple
T16773201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vincenzo Velardi |
E407652
|
entity |
| Predicate | side in conflict |
P375
|
FINISHED |
| Object | Nationalist faction in the Spanish Civil War |
—
|
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: Nationalist faction in the Spanish Civil War | Statement: [Vincenzo Velardi, side in conflict, Nationalist faction in the Spanish Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: side in conflict Context triple: [Vincenzo Velardi, side in conflict, Nationalist faction in the Spanish Civil War]
-
A.
conflictSide
chosen
Indicates that an entity participates as a distinct party or faction on one side of a conflict or dispute.
-
B.
locatedOnSideOfConflict
Indicates that an entity is positioned or aligned on a particular side or faction within a conflict.
-
C.
conflictSideContext
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).
-
D.
conflictBelligerent
Indicates that an entity is a participating belligerent (e.g., a country, group, or force) in a specific conflict.
-
E.
partnerInConflictWith
Indicates that two entities are engaged as opposing partners or sides within the same conflict or dispute.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e319cbd79c8190a03587a61c18bec0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.