Triple

T23677390
Position Surface form Disambiguated ID Type / Status
Subject Hagerty Peterson & Company E584914 entity
Predicate leaderCitizenship P152959 FINISHED
Object United States 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: United States | Statement: [Hagerty Peterson & Company, leaderCitizenship, United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leaderCitizenship
Context triple: [Hagerty Peterson & Company, leaderCitizenship, United States]
  • A. citizenshipContext
    Indicates the legal or social circumstances under which an entity holds or is granted citizenship in a particular state or jurisdiction.
  • B. definedCitizenship
    Indicates that a formal citizenship status has been legally established or specified for an entity.
  • C. laterCitizenship
    Indicates that an entity acquired citizenship in a country or polity at a later point in time, after some earlier status or affiliation.
  • D. citizenshipIssue
    Indicates that there is a problem, dispute, or complication concerning an entity’s citizenship status or rights.
  • E. acquireCitizenshipBy
    Indicates the process or means by which an entity obtains or is granted citizenship through a specific method, action, or legal basis.
  • F. None of above. chosen

Provenance (4 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_69e24901f7c08190909fd727632e823d completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b4f4d4388190a0e439f4df7a0f23 completed April 29, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f118dd13008190a8799b4e9cadbd79 completed April 28, 2026, 8:30 p.m.
PDg Predicate description generation batch_69f121cc494081908c987adfcde89b0e completed April 28, 2026, 9:08 p.m.
Created at: April 17, 2026, 6:51 p.m.