Triple

T18382074
Position Surface form Disambiguated ID Type / Status
Subject Heart Lake (New York) E446475 entity
Predicate near P350 FINISHED
Object Mount Jo E293874 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: Mount Jo | Statement: [Heart Lake (New York), near, Mount Jo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Jo
Context triple: [Heart Lake (New York), near, Mount Jo]
  • A. Mount Jo chosen
    Mount Jo is a small, popular peak in New York’s Adirondack Mountains known for its short hike and expansive views of the High Peaks region.
  • B. Mount Eddy
    Mount Eddy is a prominent peak in Northern California known for its alpine terrain, diverse geology, and extensive hiking opportunities within the Klamath Mountains region.
  • C. Mount Lavinia
    Mount Lavinia is a coastal suburb of Colombo in Sri Lanka, known for its popular beach, colonial-era architecture, and vibrant residential and tourist areas.
  • D. Mount Oread
    Mount Oread is the prominent hill in Lawrence, Kansas that serves as the main site of the University of Kansas campus.
  • E. Mount Haystack
    Mount Haystack is a prominent Adirondack High Peak in New York, known for its challenging hike and expansive summit 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179b60f88190adf39e85375bd11b completed April 19, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03d782cb54819091b847cdeb98ed5c completed May 13, 2026, 1:44 a.m.
Created at: April 10, 2026, 10:45 a.m.