Triple

T28868336
Position Surface form Disambiguated ID Type / Status
Subject Sir Robert Borden High School E729064 entity
Predicate hasNamesakeNotableOfficeStartYear P193186 FINISHED
Object 1911 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: 1911 | Statement: [Sir Robert Borden High School, hasNamesakeNotableOfficeStartYear, 1911]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNamesakeNotableOfficeStartYear
Context triple: [Sir Robert Borden High School, hasNamesakeNotableOfficeStartYear, 1911]
  • A. notableOfficeStartYear
    Indicates the calendar year in which an entity began serving in a particular notable office or position.
  • B. notableOfficePeriod
    Indicates that an entity held a particular office or position during a specified time period.
  • C. notableManagerTenureStart
    Indicates the date or point in time when a manager’s particularly significant or distinguished period of managing an entity began.
  • D. notableOfficeHolder
    Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
  • E. significantOfficeHolderStartTime
    Indicates the date and time at which an entity begins holding a significant office or position.
  • 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_69f031a01cbc8190ba87270bb6fe4639 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69fd3a69f1e08190a11aed015bff0858 completed May 8, 2026, 1:20 a.m.
PD Predicate disambiguation batch_69fd39124180819080ca7911d3515d6d completed May 8, 2026, 1:14 a.m.
PDg Predicate description generation batch_69fd3a6905b88190ae12b43576f4cc63 completed May 8, 2026, 1:20 a.m.
Created at: April 28, 2026, 6:49 a.m.