Triple

T10568706
Position Surface form Disambiguated ID Type / Status
Subject Matinicus Isle, Maine E249420 entity
Predicate hasStateFIPSCode P227 FINISHED
Object 23 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: 23 | Statement: [Matinicus Isle, Maine, hasStateFIPSCode, 23]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStateFIPSCode
Context triple: [Matinicus Isle, Maine, hasStateFIPSCode, 23]
  • A. FIPSCode chosen
    Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
  • B. hasStateOrDistrict
    Indicates that an entity is associated with, located in, or belongs to a particular state or district.
  • C. federalStateCode
    Indicates that an entity is associated with, governed by, or identified through a specific federal state code within a country’s administrative or legal system.
  • D. associatedWithStateCode
    Indicates that an entity has a connection or linkage to a particular state identified by its state code.
  • E. hasPrimaryStateJurisdiction
    Indicates that a particular state has the main legal authority or responsibility to govern, regulate, or adjudicate matters concerning a given entity or situation.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69d51901ff6c819095e7b528170a69dc completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:37 p.m.