Triple

T8759808
Position Surface form Disambiguated ID Type / Status
Subject Baxter State Park E208166 entity
Predicate containsTrail P3625 FINISHED
Object Hunt Trail E269168 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: Hunt Trail | Statement: [Baxter State Park, containsTrail, Hunt Trail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hunt Trail
Context triple: [Baxter State Park, containsTrail, Hunt Trail]
  • A. Hunt Trail chosen
    Hunt Trail is a rugged hiking route that ascends Mount Katahdin in Maine and serves as the northern terminus of the Appalachian Trail.
  • B. Garfield Trail
    Garfield Trail is a popular hiking route in New Hampshire’s White Mountains that ascends Mount Garfield in the Franconia Range.
  • C. Alta Vista Trail
    Alta Vista Trail is a popular hiking path in Mount Rainier National Park known for its alpine meadows, wildflowers, and panoramic mountain views.
  • D. Franey Trail
    Franey Trail is a popular hiking route in Cape Breton Highlands National Park known for its steep climb and panoramic views over the Clyburn Valley and Atlantic coastline.
  • E. Barr Trail
    Barr Trail is a popular and challenging hiking route that ascends Pikes Peak in Colorado, known for its significant elevation gain and scenic mountain views.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5df81c58819089af99306e103dbb completed March 31, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88e892688190ac1434598b3984b9 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:40 p.m.