Triple
T8646349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 United Kingdom general election |
E204985
|
entity |
| Predicate | campaignSloganLabour |
P7699
|
FINISHED |
| Object | For the many, not the few |
—
|
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: For the many, not the few | Statement: [2017 United Kingdom general election, campaignSloganLabour, For the many, not the few]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignSloganLabour Context triple: [2017 United Kingdom general election, campaignSloganLabour, For the many, not the few]
-
A.
electoralSlogan
chosen
Indicates that a phrase is used as a campaign message or motto to promote a candidate, party, or political cause in an election.
-
B.
campaignSloganOfWinner
Indicates that a given slogan is the official campaign slogan used by the candidate who won a particular election.
-
C.
labourWing
Indicates that an organization serves as the labor or trade union affiliate or arm of a larger political or social entity.
-
D.
campaignSymbol
Indicates that something serves as a symbol or emblem representing a particular campaign.
-
E.
leaderOfLabourParty
Indicates that one entity serves as the leader of the Labour Party organization.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc480eb7f88190a38d2150976cd47f |
completed | March 31, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69cc45619460819091e83ffdec99c865 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.