Triple

T5051258
Position Surface form Disambiguated ID Type / Status
Subject Great Locomotive Chase E113788 entity
Predicate medalOfHonorRecipients P19685 FINISHED
Object multiple Union participants received the Medal of Honor 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: multiple Union participants received the Medal of Honor | Statement: [Great Locomotive Chase, medalOfHonorRecipients, multiple Union participants received the Medal of Honor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: medalOfHonorRecipients
Context triple: [Great Locomotive Chase, medalOfHonorRecipients, multiple Union participants received the Medal of Honor]
  • A. battleHonors
    Indicates that an entity has been awarded or is associated with specific honors or distinctions earned through participation in battles or military engagements.
  • B. militaryAward chosen
    Indicates that an entity has received or been granted a specific military honor, decoration, or award.
  • C. highestStateHonorOf
    Indicates that one entity is the most prestigious state-level honor or award conferred by the other entity.
  • D. militaryAwardType
    Indicates the specific category or kind of military honor or decoration associated with an award.
  • E. militaryBranchCommemorated
    Indicates that one entity serves to honor or memorialize a specific branch of the military.
  • 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_69bd443aa1f88190abb992d138f2cf42 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7426fc8081908a8227f73168c235 completed March 20, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69bd715479f08190933604aebd34414f completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:37 p.m.