Triple

T8220955
Position Surface form Disambiguated ID Type / Status
Subject Arlington County E192056 entity
Predicate federalPresence P12270 FINISHED
Object major 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: major | Statement: [Arlington County, federalPresence, major]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: federalPresence
Context triple: [Arlington County, federalPresence, major]
  • A. federalEntityInvolved
    Indicates that a federal-level government body or authority is involved in, associated with, or has jurisdiction over the referenced action or relationship.
  • B. federalStatus
    Indicates that an entity holds a particular legal or administrative status under federal (national) authority or jurisdiction.
  • C. federalSubject
    Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
  • D. federalGovernmentBranchHosted
    Indicates that a particular branch of the federal government served as the host or organizing body for an event, activity, or entity.
  • E. federal chosen
    Indicates a relationship in which an entity is associated with, governed by, or belonging to a national-level (federal) government or system, as opposed to local or regional authorities.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77c782a8819086019ab6bac05749 completed March 31, 2026, 7:29 a.m.
PD Predicate disambiguation batch_69cb36af41e081909dee92b9bc4947f1 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:45 p.m.