Triple
T18577209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vietnamese Buddhism |
E454014
|
entity |
| Predicate | socialEngagement |
P63156
|
FINISHED |
| Object | anti-war activism during Vietnam War |
—
|
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: anti-war activism during Vietnam War | Statement: [Vietnamese Buddhism, socialEngagement, anti-war activism during Vietnam War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialEngagement Context triple: [Vietnamese Buddhism, socialEngagement, anti-war activism during Vietnam War]
-
A.
hasSocialEngagement
chosen
Indicates that an entity participates in or maintains some form of social interaction, activity, or relationship with others.
-
B.
socialContribution
Indicates that an entity engages in actions or provides resources that benefit society or a community beyond its own direct interests.
-
C.
socialSphere
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
-
D.
socialStance
Indicates the attitude, position, or orientation one entity holds toward another in a social context.
-
E.
socialMedia
Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cc94f081909b76c3d488ed5637 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:43 a.m.