Triple
T31904787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theresa May confidence vote (December 2018) |
E814517
|
entity |
| Predicate | outcomeForOffice |
P59870
|
FINISHED |
| Object | Theresa May remained Prime Minister |
—
|
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: Theresa May remained Prime Minister | Statement: [Theresa May confidence vote (December 2018), outcomeForOffice, Theresa May remained Prime Minister]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outcomeForOffice Context triple: [Theresa May confidence vote (December 2018), outcomeForOffice, Theresa May remained Prime Minister]
-
A.
outcomeOffice
Indicates that an outcome or result is associated with, produced by, or realized within a particular office or administrative unit.
-
B.
outcomeOf
chosen
Indicates that one entity is the result, consequence, or product that arises from another entity, event, or process.
-
C.
councilOutcome
Indicates the result or decision produced by a council after its deliberation or proceedings.
-
D.
outcomeDocument
Indicates that a particular document serves as the result, product, or formal output generated from a process, event, or action.
-
E.
successInOffice
Indicates that an individual has achieved a positive or effective performance outcome while holding a particular office or position.
- 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c8159edc8190b1c87015e0c820e8 |
completed | May 3, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, midnight