Triple
T30710145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How to Stop Brexit (And Make Britain Great Again) |
E781868
|
entity |
| Predicate | workFocusesOnCountry |
P47821
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [How to Stop Brexit (And Make Britain Great Again), workFocusesOnCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workFocusesOnCountry Context triple: [How to Stop Brexit (And Make Britain Great Again), workFocusesOnCountry, United Kingdom]
-
A.
worksInCountry
Indicates that an entity performs its work or professional activities within the specified country.
-
B.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
C.
concentratedInCountry
chosen
Indicates that the majority or primary presence of something (such as activity, resources, or focus) is located within a specific country.
-
D.
workSubjectNationality
Indicates that the subject of a work has a specified nationality.
-
E.
work focus
Indicates that an entity’s primary professional attention, effort, or activity is concentrated on a particular subject, task, or area.
- 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_69f224abfcf081909492e64d3cc35262 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68c1e3fa48190bb3dd7c511dc3a56 |
completed | May 2, 2026, 11:43 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:35 p.m.