Triple
T524781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Friends |
E10893
|
entity |
| Predicate | socialConcern |
P15142
|
FINISHED |
| Object | anti-war activism |
—
|
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 | Statement: [Liberal Friends, socialConcern, anti-war activism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialConcern Context triple: [Liberal Friends, socialConcern, anti-war activism]
-
A.
socialIssue
Indicates a relationship where something is recognized or treated as a problem or concern affecting society or a community at large.
-
B.
socialImpact
Indicates the extent to which an action, entity, or relationship affects society or communities, whether positively or negatively.
-
C.
welfareConcern
Indicates that one entity has a concern, issue, or responsibility related to the welfare or well-being of another entity.
-
D.
conservationIssue
Indicates that an entity is associated with a problem, threat, or concern related to the protection, preservation, or sustainable management of natural resources or biodiversity.
-
E.
environmentalIssue
Indicates that something is a problem or concern related to the natural environment, such as harm, risk, or negative impact on ecosystems or resources.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b656c08190b387f21b06d99e68 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.