Triple

T4636736
Position Surface form Disambiguated ID Type / Status
Subject Grand Cross of the Order of the Crown (Belgium) E101549 entity
Predicate orderPrecedenceInBelgium P1803 FINISHED
Object among the highest civilian honors 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: among the highest civilian honors | Statement: [Grand Cross of the Order of the Crown (Belgium), orderPrecedenceInBelgium, among the highest civilian honors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orderPrecedenceInBelgium
Context triple: [Grand Cross of the Order of the Crown (Belgium), orderPrecedenceInBelgium, among the highest civilian honors]
  • A. orderPrecedenceInCanada
    Indicates the relative legal or procedural priority that one item holds over another specifically within the Canadian context.
  • B. orderPrecedenceInSweden
    Indicates the hierarchical ranking or protocol precedence between entities within the Swedish order of precedence system.
  • C. orderPrecedence chosen
    Indicates that one entity must come before another in a defined sequence or priority order.
  • D. orderPrecedenceWithinIndia
    Indicates the relative ranking or priority of entities in terms of legal or administrative precedence within the jurisdiction of India.
  • E. passengerTrafficRankInBelgium
    Indicates the relative position of an entity in terms of passenger traffic volume compared to other entities within Belgium.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
PD Predicate disambiguation batch_69bd5233cb5081908807e2b150f0ca06 completed March 20, 2026, 1:57 p.m.
Created at: March 20, 2026, 1:13 p.m.