Triple

T770911
Position Surface form Disambiguated ID Type / Status
Subject ECA Subregional Office for Central Africa E16277 entity
Predicate typeOfOffice P18993 FINISHED
Object subregional advisory and analytical office 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: subregional advisory and analytical office | Statement: [ECA Subregional Office for Central Africa, typeOfOffice, subregional advisory and analytical office]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typeOfOffice
Context triple: [ECA Subregional Office for Central Africa, typeOfOffice, subregional advisory and analytical office]
  • A. electedOffice
    Indicates that an entity holds or has held a particular office or position as a result of an election.
  • B. servesAsOfficeOf
    Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
  • C. headOfOffice
    Indicates that one entity serves as the chief or leading authority in charge of a particular office or organizational unit.
  • D. officeHolderOf
    Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
  • E. alsoHoldsOfficeOf
    Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
  • 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_69a49369a0848190af883934cee3db4c completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a704fb148190b203a5bdd77e961c completed March 1, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69a4a508c42c8190850a0ac7844a3ea9 completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a5a35c68819082429755c046e9a7 completed March 1, 2026, 8:46 p.m.
Created at: March 1, 2026, 7:37 p.m.