Triple
T15014243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batley and Spen |
E377916
|
entity |
| Predicate | typicalPartyStrength |
P89414
|
FINISHED |
| Object | Labour-leaning marginal seat |
—
|
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: Labour-leaning marginal seat | Statement: [Batley and Spen, typicalPartyStrength, Labour-leaning marginal seat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPartyStrength Context triple: [Batley and Spen, typicalPartyStrength, Labour-leaning marginal seat]
-
A.
typicalPartyRepresentation
Indicates that one party commonly or customarily serves as the representative of another party in a given context or type of situation.
-
B.
typicalParty
Indicates that an entity is a usual, standard, or characteristic participant in a given type of event, situation, or relationship.
-
C.
partyDominance
Indicates that one political party holds a prevailing or controlling position over others within a given political context or system.
-
D.
participantStrength
chosen
Indicates the degree or level of involvement, influence, or contribution that a participant has within a given event, interaction, or relationship.
-
E.
typicalCandidate
Indicates that an entity is a standard or representative example of what is usually considered a candidate in a given context.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:55 a.m.