Triple

T24812341
Position Surface form Disambiguated ID Type / Status
Subject Egyptian central government in Cairo E620822 entity
Predicate appointedOfficeHolders P157739 FINISHED
Object provincial governors 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: provincial governors | Statement: [Egyptian central government in Cairo, appointedOfficeHolders, provincial governors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: appointedOfficeHolders
Context triple: [Egyptian central government in Cairo, appointedOfficeHolders, provincial governors]
  • A. officeHolders
    Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
  • B. officeHoldersCollectively
    Indicates that a group of individuals jointly hold, or have held, a particular office or set of offices as a collective body.
  • C. officeHoldersAssist
    Indicates that one office holder provides help or support to another office holder in carrying out their duties.
  • D. officeHoldersBelongTo
    Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
  • E. officeHoldersWere
    Indicates that certain individuals held specific offices or positions during a particular time or context.
  • 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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f44a417a58819081777e18dda149fd completed May 1, 2026, 6:37 a.m.
PD Predicate disambiguation batch_69f442b8479c8190a7c8e416ac9e28a0 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f44a3adb7c8190941572f718b3b93c completed May 1, 2026, 6:37 a.m.
Created at: April 18, 2026, 4:51 a.m.