Triple

T5123430
Position Surface form Disambiguated ID Type / Status
Subject Chapter of the Order of the Garter E115524 entity
Predicate hasHistoricalPrecedent P3444 FINISHED
Object chapters of medieval chivalric orders 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: chapters of medieval chivalric orders | Statement: [Chapter of the Order of the Garter, hasHistoricalPrecedent, chapters of medieval chivalric orders]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasHistoricalPrecedent
Context triple: [Chapter of the Order of the Garter, hasHistoricalPrecedent, chapters of medieval chivalric orders]
  • A. hasHistoricalPrecursor chosen
    Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
  • B. wasPrecededBy
    Indicates that one event, state, or entity occurred or existed earlier in time than another.
  • C. hasHistoricalContext
    Indicates that something is related to, influenced by, or best understood in light of specific past events, conditions, or time periods.
  • D. hasHistoricalProponent
    Indicates that an entity has been advocated, supported, or promoted by a specific person or group in the past.
  • E. hasHistoryOf
    Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
  • 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_69bd4442ade0819087b9461f892b206b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7d5a23908190a24e79d1b29d6fcf completed March 20, 2026, 5:01 p.m.
PD Predicate disambiguation batch_69bd77aa68b88190a50dd736a72d2901 completed March 20, 2026, 4:36 p.m.
Created at: March 20, 2026, 1:42 p.m.