Triple

T13465652
Position Surface form Disambiguated ID Type / Status
Subject Trail Smoke Eaters E311491 entity
Predicate city P40 FINISHED
Object Trail E1042781 NE 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: Trail | Statement: [Trail Smoke Eaters, city, Trail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trail
Context triple: [Trail Smoke Eaters, city, Trail]
  • A. Trail chosen
    Trail is a small city in southeastern British Columbia, Canada, known for its historic smelting industry and scenic location along the Columbia River.
  • B. Loop Trail
    Loop Trail is a popular hiking path in Enchanted Rock State Natural Area that circles the park’s massive pink granite dome and showcases its unique Hill Country scenery.
  • C. Way
    Way is a surname most notably borne by English actor and writer Tony Way, known for his roles in film and television comedies and dramas.
  • D. Discovery Trail
    Discovery Trail is a scenic coastal walking and biking path near Long Beach, Washington, known for its ocean views, dunes, and interpretive historical features.
  • E. Thru Trail
    Thru Trail is a hiking route within Patapsco Valley State Park in Maryland, offering continuous access through the park’s wooded river valley and connecting various trails and recreation areas.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0f1830819085700b4521e44678 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7547d4f20819096765e125396e471 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:41 p.m.