Triple

T3007233
Position Surface form Disambiguated ID Type / Status
Subject Allied Joint Force Command Brunssum E81931 entity
Predicate headquartersType P4474 FINISHED
Object operational-level headquarters 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: operational-level headquarters | Statement: [Allied Joint Force Command Brunssum, headquartersType, operational-level headquarters]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: headquartersType
Context triple: [Allied Joint Force Command Brunssum, headquartersType, operational-level headquarters]
  • A. headquartersFunction
    Indicates that an entity serves as the main administrative or central operating location (headquarters) for another entity.
  • B. hasHeadquartersType chosen
    Indicates the specific kind or classification of headquarters associated with an entity.
  • C. headquartersMunicipality
    Indicates the municipality in which an organization’s main administrative headquarters is located.
  • D. headquartersFor
    Indicates that a location serves as the main administrative center or base of operations for an organization or entity.
  • E. headquartersLocation
    Indicates the place where an organization’s main administrative center or principal office is located.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a4a12508190a48ae1c86233d25e completed March 8, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69ad96180eb08190a524c5f458d41382 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3 p.m.