Triple

T362995
Position Surface form Disambiguated ID Type / Status
Subject Philippine Medal of Valor E7895 entity
Predicate rankInOrderOfPrecedence P1944 FINISHED
Object highest Philippine military decoration 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: highest Philippine military decoration | Statement: [Philippine Medal of Valor, rankInOrderOfPrecedence, highest Philippine military decoration]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInOrderOfPrecedence
Context triple: [Philippine Medal of Valor, rankInOrderOfPrecedence, highest Philippine military decoration]
  • A. orderPrecedence
    Indicates that one entity must come before another in a defined sequence or priority order.
  • B. confersPrecedenceIn
    Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
  • C. rankedAs chosen
    Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
  • D. precedentFor
    Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
  • E. rankedBy
    Indicates that one entity is ordered or assigned a position in a hierarchy or list according to criteria determined or applied by another 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebcfb0f48190b9a9010c7837ac58 completed Feb. 28, 2026, 1:21 p.m.
PD Predicate disambiguation batch_69a2e95c843c8190b2aba9af6e869ba1 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.