Triple
T4196845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indalecio Prieto |
E89173
|
entity |
| Predicate | opposedSideInConflict |
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: [Indalecio Prieto, opposedSideInConflict, Nationalist faction in the Spanish Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedSideInConflict Context triple: [Indalecio Prieto, opposedSideInConflict, 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.
opposedWar
Indicates that an entity actively resisted, disagreed with, or worked against a particular war or military conflict.
-
C.
hasOpposingFaction
Indicates that one faction stands in opposition or conflict to another faction.
-
D.
opposingAlliance
Indicates that two entities belong to rival or mutually opposed alliances or factions.
-
E.
primaryOpposingCountry
Indicates that one country is the main or principal adversary or opponent of another country in a conflict, rivalry, or opposition.
- 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_69aed9569a4481908b6c1fcec2a11e21 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af035f9f788190a4bcfeda646fbebf |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:46 p.m.