Triple

T12228731
Position Surface form Disambiguated ID Type / Status
Subject 2022 Hong Kong Chief Executive election E291419 entity
Predicate requiredNominationsFromEachSector P67813 FINISHED
Object at least 15 nominations from each of the five sectors 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: at least 15 nominations from each of the five sectors | Statement: [2022 Hong Kong Chief Executive election, requiredNominationsFromEachSector, at least 15 nominations from each of the five sectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: requiredNominationsFromEachSector
Context triple: [2022 Hong Kong Chief Executive election, requiredNominationsFromEachSector, at least 15 nominations from each of the five sectors]
  • A. requiredNominationsForCandidacy chosen
    Indicates that a certain minimum number of nominations must be obtained for an entity to qualify as a candidate.
  • B. typicalNumberOfNominees
    Indicates the usual or standard count of nominees associated with something, such as an award, position, or selection process.
  • C. maximumNominationsPerFilm
    Indicates the highest number of nominations that any single film is allowed to receive.
  • D. requiresAwardsFrom
    Indicates that one entity can only proceed, qualify, or be valid if it has received specified awards from another entity.
  • E. mostNominationsCount
    Indicates the highest number of nominations that any entity in the relevant set has received.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d924a3973c8190a882046963b320fb completed April 10, 2026, 4:26 p.m.
PD Predicate disambiguation batch_69d91c41bcbc81909782f4e3c571b218 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.