Triple

T9064534
Position Surface form Disambiguated ID Type / Status
Subject Good Hope neighborhood E217210 entity
Predicate governmentTypeOfParentJurisdiction P32279 FINISHED
Object federal district 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: federal district | Statement: [Good Hope neighborhood, governmentTypeOfParentJurisdiction, federal district]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentTypeOfParentJurisdiction
Context triple: [Good Hope neighborhood, governmentTypeOfParentJurisdiction, federal district]
  • A. governmentTypeOfParentCity
    Indicates the form of government that characterizes the parent city to which an entity belongs.
  • B. governmentType
    Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
  • C. typeOfJurisdictionBody
    Indicates that one entity functions as the jurisdictional authority or governing body for the other entity.
  • D. governmentalUnitType chosen
    Indicates the specific category or classification of a governmental unit (such as federal, state, municipal, or other administrative level) that an entity belongs to.
  • E. typeOfJurisdiction
    Indicates the specific kind or category of legal authority or control that one jurisdiction holds in relation to a given legal or administrative context.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bb26588190b7d6f2d70819e86f completed April 1, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69cc65f881248190bfd220bb28a9fb5f completed April 1, 2026, 12:25 a.m.
Created at: March 30, 2026, 7:11 p.m.