Triple

T14466576
Position Surface form Disambiguated ID Type / Status
Subject Square Tower Group E358724 entity
Predicate nearestTown P350 FINISHED
Object Aneth, Utah E967493 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: Aneth, Utah | Statement: [Square Tower Group, nearestTown, Aneth, Utah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aneth, Utah
Context triple: [Square Tower Group, nearestTown, Aneth, Utah]
  • A. Aneth, Utah chosen
    Aneth, Utah is a small Navajo Nation community and census-designated place in southeastern Utah known for its location along the San Juan River and ties to regional oil and gas development.
  • B. Elwood, Utah
    Elwood, Utah is a small rural town located in northern Utah within the Bear River Valley.
  • C. Annabella, Utah
    Annabella, Utah is a small rural town in central Utah known for its agricultural setting and close-knit community within Sevier County.
  • D. Upton, Utah
    Upton, Utah is a small unincorporated community located in northeastern Utah within the mountainous region of Summit County.
  • E. Lynndyl, Utah
    Lynndyl, Utah is a small rural town in central Utah known for its agricultural surroundings and proximity to major rail lines.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f6d4c08190a12e9a5901ee3508 completed April 14, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6499c7188190a79411b471cfa7d4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.