Triple

T18215314
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts House district E436137 entity
Predicate numberOfRepresentativesElected P4273 FINISHED
Object 1 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: 1 | Statement: [Massachusetts House district, numberOfRepresentativesElected, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfRepresentativesElected
Context triple: [Massachusetts House district, numberOfRepresentativesElected, 1]
  • A. numberOfRepresentatives chosen
    Indicates the quantity of representatives associated with a given entity or unit.
  • B. electRepresentativesTo
    Indicates the action by which a group or body chooses individuals to serve as its official representatives in another governing or decision-making body.
  • C. numberOfElectedMembers
    Indicates the total count of individuals who have been formally chosen through an election to serve as members of a given body or group.
  • D. numberOfElectors
    Indicates the total count of electors associated with a given entity or context.
  • E. numberOfStatesRepresented
    Indicates how many distinct states are represented or covered in a given context or entity.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e476a6548190bda03190c5f531ad completed April 19, 2026, 2:19 p.m.
PD Predicate disambiguation batch_69e4332155d88190b106d0dceb4554af completed April 19, 2026, 1:42 a.m.
Created at: April 10, 2026, 10:32 a.m.