Triple
T18296757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Labour |
E438249
|
entity |
| Predicate | viewsInequality |
P43390
|
FINISHED |
| Object | to be reduced through state action |
—
|
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: to be reduced through state action | Statement: [Old Labour, viewsInequality, to be reduced through state action]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsInequality Context triple: [Old Labour, viewsInequality, to be reduced through state action]
-
A.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
B.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
C.
viewOnRights
Indicates a stance, opinion, or perspective that one entity holds regarding the rights (e.g., legal, moral, or human rights) of another entity or group.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
viewOnInterest
chosen
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017c0f04819095cd9d59afc37caa |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.