Triple

T2918156
Position Surface form Disambiguated ID Type / Status
Subject Grand Cross of the Order of Christ E78655 entity
Predicate precedenceWithin P1616 FINISHED
Object high rank among Portuguese state 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: high rank among Portuguese state honors | Statement: [Grand Cross of the Order of Christ, precedenceWithin, high rank among Portuguese state honors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: precedenceWithin
Context triple: [Grand Cross of the Order of Christ, precedenceWithin, high rank among Portuguese state honors]
  • A. orderPrecedence
    Indicates that one entity must come before another in a defined sequence or priority order.
  • B. confersPrecedenceIn chosen
    Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
  • C. hasPrecedence
    Indicates that one entity occurs, is considered, or is applied before another in order, priority, or importance.
  • D. hasLowerPrecedenceThan
    Indicates that one item is ranked or ordered with a lower priority or importance compared to another item.
  • E. precedentFor
    Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97fd89d88190bc7db4b39058ae3a completed March 8, 2026, 3:38 p.m.
PD Predicate disambiguation batch_69ad9603ddd88190b8bf91bc7517cc21 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:54 p.m.