Triple
T1564398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nixon 1972 presidential campaign |
E33398
|
entity |
| Predicate | positionOnVietnam |
P4172
|
FINISHED |
| Object | peace with honor |
—
|
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: peace with honor | Statement: [Nixon 1972 presidential campaign, positionOnVietnam, peace with honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnVietnam Context triple: [Nixon 1972 presidential campaign, positionOnVietnam, peace with honor]
-
A.
positionOnVietnamWar
chosen
Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
-
B.
populationRankInVietnam
Indicates the relative position of an entity in terms of population size compared to other entities within Vietnam.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
estimatedNorthVietnameseCasualties
Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
-
E.
positionOnNATO
Indicates a country's stance or alignment regarding membership in, support for, or opposition to NATO.
- 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_69a885f11b048190935025a035302715 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90fccd4b48190a44012888a00af7f |
completed | March 5, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69a907b872f0819096b3df6ad502c63e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.