Triple

T28328977
Position Surface form Disambiguated ID Type / Status
Subject Super Tuesday Democratic primaries, 2024 E717486 entity
Predicate hasNumberOfStatesAndTerritoriesParticipating P244 FINISHED
Object multiple U.S. states and possibly territories 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: multiple U.S. states and possibly territories | Statement: [Super Tuesday Democratic primaries, 2024, hasNumberOfStatesAndTerritoriesParticipating, multiple U.S. states and possibly territories]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNumberOfStatesAndTerritoriesParticipating
Context triple: [Super Tuesday Democratic primaries, 2024, hasNumberOfStatesAndTerritoriesParticipating, multiple U.S. states and possibly territories]
  • A. hasNumberOfStatesAndDistricts
    Indicates a relationship where an entity is associated with a specific count of its constituent states and districts.
  • B. numberOfStates chosen
    Indicates the total count of distinct states or conditions associated with an entity or system.
  • C. hasNumberOfProvinces
    Indicates the total count of provinces associated with a given entity.
  • D. numberOfStatesRepresented
    Indicates how many distinct states are represented or covered in a given context or entity.
  • E. hasNumberOfParties
    Indicates the total count of distinct parties or participants involved in a given relationship, agreement, or event.
  • 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_69eff6e9a57c8190a69c2c74b5d72119 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69fbaebc8f2c8190b94f1b4a3ec92e8c completed May 6, 2026, 9:12 p.m.
PD Predicate disambiguation batch_69fbadf1e6008190a71bbd196ba06844 completed May 6, 2026, 9:09 p.m.
Created at: April 28, 2026, 12:30 a.m.