Triple

T7717865
Position Surface form Disambiguated ID Type / Status
Subject Lord Steward of the Household E174931 entity
Predicate hasSeatOrOfficeAt P48856 FINISHED
Object royal palaces in London (traditionally) 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: royal palaces in London (traditionally) | Statement: [Lord Steward of the Household, hasSeatOrOfficeAt, royal palaces in London (traditionally)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSeatOrOfficeAt
Context triple: [Lord Steward of the Household, hasSeatOrOfficeAt, royal palaces in London (traditionally)]
  • A. placeOfOffice chosen
    Indicates the location where an office or official position is held or based.
  • B. hasOffice
    Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
  • C. servesAsOfficeOf
    Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
  • D. seatOfGovernment
    Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
  • E. organizationLocatedAt
    Indicates that an organization is situated or based at a specific geographic location or address.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ebb7448190ae8d47fe0cbb0907 completed March 27, 2026, 10:21 p.m.
PD Predicate disambiguation batch_69c701683dec8190be9861e592aa8ce0 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:05 p.m.