Triple

T28695424
Position Surface form Disambiguated ID Type / Status
Subject Connecticut's 5th congressional district E729400 entity
Predicate includesPartOfCounty P89901 FINISHED
Object Fairfield County, Connecticut NE NERFINISHED

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: Fairfield County, Connecticut | Statement: [Connecticut's 5th congressional district, includesPartOfCounty, Fairfield County, Connecticut]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesPartOfCounty
Context triple: [Connecticut's 5th congressional district, includesPartOfCounty, Fairfield County, Connecticut]
  • A. includesCounty
    Indicates that a larger geographic or administrative region contains or encompasses a specific county within its boundaries.
  • B. partiallyInCounty
    Indicates that an entity’s spatial extent overlaps with, but is not entirely contained within, a given county.
  • C. isPortionOfCountyIncludedInCongressionalDistrict chosen
    Indicates that a specific part of a county lies within the boundaries of a particular congressional district.
  • D. isInCountySubdivision
    Indicates that one entity (typically a place or address) is located within the boundaries of a specific county subdivision.
  • E. cityIsInCounty
    Indicates that a particular city is geographically and administratively located within a specific county.
  • 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_69f043e60b6c8190ac2cd042e77fe6e9 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69ff2636e2bc8190bba91eff91431c6e completed May 9, 2026, 12:19 p.m.
PD Predicate disambiguation batch_69ff25c65be48190868480d94e1c4e89 completed May 9, 2026, 12:17 p.m.
Created at: April 28, 2026, 5:39 a.m.