Triple

T29729410
Position Surface form Disambiguated ID Type / Status
Subject Connecticut state wildlife management areas E752276 entity
Predicate hasDesignatedActivity P162127 FINISHED
Object deer hunting 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: deer hunting | Statement: [Connecticut state wildlife management areas, hasDesignatedActivity, deer hunting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDesignatedActivity
Context triple: [Connecticut state wildlife management areas, hasDesignatedActivity, deer hunting]
  • A. hasActivityIn
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • B. has activity
    Indicates that one entity performs, exhibits, or is engaged in a particular action, behavior, or process associated with another entity.
  • C. hasSubjectActivity
    Indicates that an entity is associated with or participates in a particular activity as its subject.
  • D. hasSignificantActivity
    Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
  • E. hasHumanActivities chosen
    Indicates that certain human actions, behaviors, or practices are present, performed, or associated with a given 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fd5d48855c8190bd93070b6a00d8b5 completed May 8, 2026, 3:49 a.m.
PD Predicate disambiguation batch_69fd5c9aabb88190912800d90184a89d completed May 8, 2026, 3:46 a.m.
Created at: April 28, 2026, 7:41 p.m.