Triple
T643499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tory |
E16790
|
entity |
| Predicate | hasPoliticalSpectrumRole |
P7253
|
FINISHED |
| Object | traditional right in British politics |
—
|
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: traditional right in British politics | Statement: [Tory, hasPoliticalSpectrumRole, traditional right in British politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPoliticalSpectrumRole Context triple: [Tory, hasPoliticalSpectrumRole, traditional right in British politics]
-
A.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
-
B.
politicalSpectrumPosition
chosen
Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
-
C.
hasPoliticalCharacteristic
Indicates that an entity possesses a specific political attribute, quality, or affiliation.
-
D.
roleInCongress
Indicates the specific position or function an individual holds within a legislative congress.
-
E.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of 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_69a4936be1c88190af56540324b57da7 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49f18216081908331aa12dac40214 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0a0ab481909871461418a00be7 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.