Triple

T4198786
Position Surface form Disambiguated ID Type / Status
Subject William Birdwood E86015 entity
Predicate serviceNumberOrYears P14042 FINISHED
Object served in the British Army from 1883 to 1925 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: served in the British Army from 1883 to 1925 | Statement: [William Birdwood, serviceNumberOrYears, served in the British Army from 1883 to 1925]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: serviceNumberOrYears
Context triple: [William Birdwood, serviceNumberOrYears, served in the British Army from 1883 to 1925]
  • A. serviceYears chosen
    Indicates the number of years an entity has provided service or been in a particular role, position, or organization.
  • B. serviceNumber
    Indicates a unique identifying number assigned to a service, used to reference, track, or distinguish that service from others.
  • C. serviceNumberApproximate
    Indicates that one entity’s service number is approximately equal to, but not necessarily exactly the same as, another entity’s service number.
  • D. serviceNumbering
    Indicates that a specific service is assigned or associated with a particular identifying number or code.
  • E. serviceNumberLabel
    Indicates that a label or identifier is assigned to denote the service number associated with an entity.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af036243b4819097efe6b796823cd9 completed March 9, 2026, 5:29 p.m.
PD Predicate disambiguation batch_69af01959c4881909eb1adcb3bdadbe6 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:48 p.m.