Triple
T9281930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Barrosa |
E223088
|
entity |
| Predicate | frenchObjective |
P14904
|
FINISHED |
| Object | to destroy the relieving force and maintain the siege of Cádiz |
—
|
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: to destroy the relieving force and maintain the siege of Cádiz | Statement: [Battle of Barrosa, frenchObjective, to destroy the relieving force and maintain the siege of Cádiz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frenchObjective Context triple: [Battle of Barrosa, frenchObjective, to destroy the relieving force and maintain the siege of Cádiz]
-
A.
FrenchObjective
chosen
Indicates that an entity serves as the goal, target, or object of an action or relation specifically within a French linguistic or contextual framework.
-
B.
objectiveOfFrance
Indicates that something is an objective, goal, or aim pursued by France.
-
C.
FrenchOutcome
Indicates that an event, action, or process results in an outcome that is specifically French in nature, context, or origin.
-
D.
notableObjectiveInNormandy
Indicates that an entity had a significant goal, target, or mission specifically within the context of the Normandy campaign or region.
-
E.
FrenchSupport
Indicates that one entity provides support, assistance, or backing to another in a specifically French context (e.g., by French actors, in France, or involving the French language or institutions).
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081c2b048190aa6930de3bf2f87f |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:34 p.m.