Triple

T22342915
Position Surface form Disambiguated ID Type / Status
Subject Connecticut state forest system E552319 entity
Predicate hasPart P35 FINISHED
Object Shenipsit State Forest NE NERFINISHED

How this triple was built (3 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: Shenipsit State Forest | Statement: [Connecticut state forest system, hasPart, Shenipsit State Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shenipsit State Forest
Context triple: [Connecticut state forest system, hasPart, Shenipsit State Forest]
  • A. Nepaug State Forest
    Nepaug State Forest is a public woodland area in Connecticut known for its hiking, mountain biking, and outdoor recreation opportunities.
  • B. Sproul State Forest
    Sproul State Forest is a vast, rugged expanse of public woodland in north-central Pennsylvania known for its remote wilderness, steep valleys, and extensive hiking and outdoor recreation opportunities.
  • C. Michaux State Forest
    Michaux State Forest is a large public forest and recreation area in south-central Pennsylvania known for its rugged Appalachian terrain, extensive trail system, and diverse wildlife habitat.
  • D. Selmier State Forest
    Selmier State Forest is a publicly managed woodland area in Indiana known for its recreational opportunities and natural habitat conservation.
  • E. Havenwoods State Forest
    Havenwoods State Forest is an urban state forest and nature preserve in Milwaukee, Wisconsin, offering trails, wildlife habitat, and environmental education within a restored natural landscape.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shenipsit State Forest
Target entity description: Shenipsit State Forest is a public woodland and recreation area in north-central Connecticut known for its hiking trails, including sections of the Shenipsit Trail, and scenic views of the surrounding region.
  • A. Nepaug State Forest
    Nepaug State Forest is a public woodland area in Connecticut known for its hiking, mountain biking, and outdoor recreation opportunities.
  • B. Sproul State Forest
    Sproul State Forest is a vast, rugged expanse of public woodland in north-central Pennsylvania known for its remote wilderness, steep valleys, and extensive hiking and outdoor recreation opportunities.
  • C. Michaux State Forest
    Michaux State Forest is a large public forest and recreation area in south-central Pennsylvania known for its rugged Appalachian terrain, extensive trail system, and diverse wildlife habitat.
  • D. Selmier State Forest
    Selmier State Forest is a publicly managed woodland area in Indiana known for its recreational opportunities and natural habitat conservation.
  • E. Havenwoods State Forest
    Havenwoods State Forest is an urban state forest and nature preserve in Milwaukee, Wisconsin, offering trails, wildlife habitat, and environmental education within a restored natural landscape.
  • F. None of above. chosen

Provenance (2 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15795b2a881908d6cb8f97443ca17 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.