Triple
T18296756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Labour |
E438249
|
entity |
| Predicate | viewsPrivateSector |
P21245
|
FINISHED |
| Object | subordinate to public interest |
—
|
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: subordinate to public interest | Statement: [Old Labour, viewsPrivateSector, subordinate to public interest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsPrivateSector Context triple: [Old Labour, viewsPrivateSector, subordinate to public interest]
-
A.
includesIndependentSector
Indicates that something encompasses or contains the independent (non-governmental, nonprofit) sector as part of its scope or composition.
-
B.
includesPrivateCompanies
chosen
Indicates that the relationship or set explicitly encompasses or applies to private companies as part of its scope.
-
C.
ownerSector
Indicates the sector or industry category to which the owner of an entity belongs.
-
D.
viewsSectorAsProductive
Indicates that one entity regards or evaluates a particular sector as being productive or efficient in its output or performance.
-
E.
viewsFirmsAs
Indicates that one entity regards or perceives certain organizations as firms, or conceptualizes them in terms of their firm-like role or identity.
- 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.