Triple
T9553987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Boulou |
E230493
|
entity |
| Predicate | primaryObjectiveSpain |
P26024
|
FINISHED |
| Object | maintain and consolidate Spanish gains in French Roussillon |
—
|
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: maintain and consolidate Spanish gains in French Roussillon | Statement: [Battle of Boulou, primaryObjectiveSpain, maintain and consolidate Spanish gains in French Roussillon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryObjectiveSpain Context triple: [Battle of Boulou, primaryObjectiveSpain, maintain and consolidate Spanish gains in French Roussillon]
-
A.
strategicObjectiveSpain
chosen
Indicates that an entity has a strategic objective specifically related to Spain.
-
B.
nationalGoalsForCatalonia
Indicates a relationship where certain goals or objectives are designated as the national aims specifically for Catalonia.
-
C.
obligationsOfSpain
Indicates that certain duties, responsibilities, or commitments are borne by Spain in a given context.
-
D.
returnToSpain
Indicates that an entity goes back to Spain, typically after having been away.
-
E.
effectOnSpain
Indicates a relationship where one entity produces an influence, change, or consequence specifically affecting Spain.
- 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_69ca847d3be8819099c9dad2a7e786f1 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99217de48190b528e14fd02ee987 |
completed | April 1, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_69ccd594d0ac8190a81bc11a3a538167 |
completed | April 1, 2026, 8:21 a.m. |
Created at: March 30, 2026, 8:02 p.m.