Triple

T32440854
Position Surface form Disambiguated ID Type / Status
Subject Cape Henry E829009 entity
Predicate countyBeforeCityConsolidation P65436 FINISHED
Object Princess Anne County, Virginia 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: Princess Anne County, Virginia | Statement: [Cape Henry, countyBeforeCityConsolidation, Princess Anne County, Virginia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countyBeforeCityConsolidation
Context triple: [Cape Henry, countyBeforeCityConsolidation, Princess Anne County, Virginia]
  • A. formerMunicipalityOf
    Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
  • B. servedMunicipalityBeforeAmalgamation
    Indicates that an entity provided municipal services or governance to a municipality prior to its amalgamation into a larger administrative unit.
  • C. hasFormerCounty
    Indicates that an entity was previously part of, or administered by, a particular county in the past but no longer is.
  • D. formerCityName
    Indicates that an entity was previously known by a different city name in the past.
  • E. previousCounty chosen
    Indicates that one county was the immediately preceding county associated with an entity before the current or later 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_69f3491d2e5c819092b1c9535beff8ec completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_6a004fd3caf48190b2ec063a7bf0756b completed May 10, 2026, 9:28 a.m.
PD Predicate disambiguation batch_6a004f7672dc8190aca91d1ed855bf9a completed May 10, 2026, 9:27 a.m.
Created at: May 1, 2026, 12:55 a.m.