Triple

T10881437
Position Surface form Disambiguated ID Type / Status
Subject Giraffe Encounter E256928 entity
Predicate involvesInteractionType P82125 FINISHED
Object feeding animals under supervision 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: feeding animals under supervision | Statement: [Giraffe Encounter, involvesInteractionType, feeding animals under supervision]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: involvesInteractionType
Context triple: [Giraffe Encounter, involvesInteractionType, feeding animals under supervision]
  • A. hasInteraction
    Indicates that there is some form of interaction or mutual action occurring between the related entities.
  • B. typeOfInvolvement chosen
    Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
  • C. involves
    Indicates that an entity participates in, is a part of, or is implicated within a particular event, process, or relationship.
  • D. involvedAction
    Indicates that an entity participates in, performs, or is otherwise engaged in a specified action or activity.
  • E. mayBeInvolvedIn
    Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751da559c819094c3680a9f734ee7 completed April 9, 2026, 7:14 a.m.
PD Predicate disambiguation batch_69d70d360c388190a3d829fe8862434f completed April 9, 2026, 2:21 a.m.
Created at: April 8, 2026, 9:21 p.m.