Triple
T5809305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Na San |
E128825
|
entity |
| Predicate | sideOutcomeForVietMinh |
P44060
|
FINISHED |
| Object | lessons on attacking fortified airheads |
—
|
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: lessons on attacking fortified airheads | Statement: [Battle of Na San, sideOutcomeForVietMinh, lessons on attacking fortified airheads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOutcomeForVietMinh Context triple: [Battle of Na San, sideOutcomeForVietMinh, lessons on attacking fortified airheads]
-
A.
estimatedNorthVietnameseCasualties
Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
-
B.
tookPowerInSaigon
Indicates that an entity assumed or seized political control or authority in Saigon.
-
C.
positionOnVietnamWar
Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
-
D.
VietnameseLeader
Indicates that an entity holds or has held a leadership position or governing authority over Vietnam.
-
E.
partOfConflictOutcome
chosen
Indicates that one entity represents a specific component or aspect of the overall outcome of a conflict involving another entity.
- 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_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. |
Created at: March 22, 2026, 3:52 p.m.