Triple

T4775270
Position Surface form Disambiguated ID Type / Status
Subject Ceylon, Minnesota, United States E106028 entity
Predicate hasFIPSPlaceCode P227 FINISHED
Object 10608 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: 10608 | Statement: [Ceylon, Minnesota, United States, hasFIPSPlaceCode, 10608]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFIPSPlaceCode
Context triple: [Ceylon, Minnesota, United States, hasFIPSPlaceCode, 10608]
  • A. FIPSCode chosen
    Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
  • B. hasCountyCode
    Indicates that an entity is associated with a specific county identified by a standardized county code.
  • C. isInUnitedStatesMunicipalHierarchy
    Indicates that one administrative or governmental unit occupies a specific level or position within the municipal hierarchy of the United States (e.g., city, town, county, or similar local jurisdiction).
  • D. FIPSCountryCode
    Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
  • E. locatedInFederalEntity
    Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal 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_69bd43f3074c8190937e7b0a457fe9f1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6584481081908f1041a8827e0b42 completed March 20, 2026, 3:19 p.m.
PD Predicate disambiguation batch_69bd6229d8448190a271719e5e30fd82 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:21 p.m.