Triple

T11089055
Position Surface form Disambiguated ID Type / Status
Subject 2017 Glasgow City Council election E262200 entity
Predicate GreenSeatsAfterElection P31127 FINISHED
Object 7 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: 7 | Statement: [2017 Glasgow City Council election, GreenSeatsAfterElection, 7]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: GreenSeatsAfterElection
Context triple: [2017 Glasgow City Council election, GreenSeatsAfterElection, 7]
  • A. numberOfSeatsWon chosen
    Indicates the quantity of seats secured by an entity (such as a party or candidate) in an election or representative body.
  • B. speakerSeatsWon
    Indicates the number of seats won by the entity serving or designated as the speaker in a given election or legislative context.
  • C. parliamentarySeats
    Indicates the number of seats a party, group, or representative holds in a parliamentary body.
  • D. LabourSeatsWon
    Indicates the number of parliamentary seats won by the Labour Party in an election.
  • E. numberOfSeatsContested
    Indicates the total count of seats in an election or contest that are being competed for or are up for selection.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799e844b08190987c7c8e8d626510 completed April 9, 2026, 12:22 p.m.
PD Predicate disambiguation batch_69d744185a5881909ba4cf151d1798ec completed April 9, 2026, 6:15 a.m.
Created at: April 8, 2026, 9:27 p.m.