Triple

T16086252
Position Surface form Disambiguated ID Type / Status
Subject Indiana state park system E390235 entity
Predicate hasPart P35 FINISHED
Object Shakamak State Park NE ONNED1

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: Shakamak State Park | Statement: [Indiana state park system, hasPart, Shakamak State Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shakamak State Park
Context triple: [Indiana state park system, hasPart, Shakamak State Park]
  • A. Shakamak State Park chosen
    Shakamak State Park is a recreational area in western Indiana known for its fishing lakes, camping facilities, and wooded trails.
  • B. Wah-Sha-She State Park
    Wah-Sha-She State Park is a scenic recreational area in northeastern Oklahoma known for its lakeside camping, fishing, and wildlife viewing opportunities.
  • C. Makoshika State Park
    Makoshika State Park is a badlands-style state park in eastern Montana renowned for its striking rock formations and rich dinosaur fossil beds.
  • D. Schafer State Park
    Schafer State Park is a forested public recreation area in western Washington known for its river access, camping, and hiking opportunities.
  • E. Lee State Park
    Lee State Park is a public recreation and nature area in South Carolina known for its hardwood forests, wetlands, and opportunities for camping, hiking, and fishing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844f95508190a06dad0ccc9b6191 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01953eaa6c819091f7d63a1e3e7070 in_progress May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 4:59 a.m.