Triple

T3450764
Position Surface form Disambiguated ID Type / Status
Subject ACM SIGMOD Contributions Award E72787 entity
Predicate fieldOfHonor P1597 FINISHED
Object database research community 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: database research community | Statement: [ACM SIGMOD Contributions Award, fieldOfHonor, database research community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldOfHonor
Context triple: [ACM SIGMOD Contributions Award, fieldOfHonor, database research community]
  • 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. battlefieldOf
    Indicates that a location is the site where a particular battle or military engagement took place.
  • C. fieldOfRecognition chosen
    Indicates the domain, discipline, or area in which an entity is formally acknowledged, honored, or recognized.
  • D. burialHonors
    Indicates a relationship where an entity is recognized or commemorated with special respect or distinction in the context of their burial or interment.
  • E. militaryAward
    Indicates that an entity has received or been granted a specific military honor, decoration, or award.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba7324508190b07943cec3ecdb59 completed March 8, 2026, 6:05 p.m.
PD Predicate disambiguation batch_69adae0255b48190a9069f7871c7a012 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.