Triple

T27499061
Position Surface form Disambiguated ID Type / Status
Subject Old World sparrows E694097 entity
Predicate typicalBillAdaptation P142817 FINISHED
Object seed-eating 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: seed-eating | Statement: [Old World sparrows, typicalBillAdaptation, seed-eating]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalBillAdaptation
Context triple: [Old World sparrows, typicalBillAdaptation, seed-eating]
  • A. billAdaptation
    Indicates that a bill or legislative proposal has been modified or adjusted, typically in response to feedback, new information, or changing conditions.
  • B. billAdaptationFor
    Indicates that a legislative bill is created or modified specifically to implement, support, or regulate a particular adaptation or adjustment.
  • C. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • D. hasBillAdaptation
    Indicates that an entity has a related adaptation in the form of a bill or legislative proposal.
  • E. typicalAdaptations chosen
    Indicates the characteristic adaptations or traits that are commonly associated with or typical for an entity in a given context.
  • 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_69ef538370888190b1ddf53bb4831188 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69ffb69812808190a751853b30183e65 completed May 9, 2026, 10:35 p.m.
PD Predicate disambiguation batch_69ffb63bdda88190a9dd8426dc0bad43 completed May 9, 2026, 10:33 p.m.
Created at: April 27, 2026, 1:10 p.m.