Triple
T5809304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Na San |
E128825
|
entity |
| Predicate | sideOutcomeForFrenchUnion |
P66455
|
FINISHED |
| Object | boosted confidence in hedgehog tactics |
—
|
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: boosted confidence in hedgehog tactics | Statement: [Battle of Na San, sideOutcomeForFrenchUnion, boosted confidence in hedgehog tactics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOutcomeForFrenchUnion Context triple: [Battle of Na San, sideOutcomeForFrenchUnion, boosted confidence in hedgehog tactics]
-
A.
statusAfterFranco
Indicates the status or condition of an entity following the period or rule associated with Franco.
-
B.
joinedFrance
Indicates that an entity became a member of or was incorporated into France.
-
C.
proUnionBloc
Indicates support for, alignment with, or advocacy on behalf of a pro-union political or organizational bloc.
-
D.
monarchOfFrenchSide
Indicates that one entity serves as the ruling monarch over the French side or faction in a given context or domain.
-
E.
frenchTroopsEvacuated
Indicates that French military forces withdrew or were removed from a particular location or situation.
- F. None of above. chosen
Provenance (4 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b1867a481909a7ea3331dbb04ce |
completed | March 22, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.