Triple

T19323813
Position Surface form Disambiguated ID Type / Status
Subject Wasatch-Cache National Forest E483293 entity
Predicate near P350 FINISHED
Object Logan
Logan is a city in northern Utah known as the home of Utah State University and a gateway to outdoor recreation in the surrounding mountains and forests.
 E483284 NE FINISHED

How this triple was built (4 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: Logan | Statement: [Wasatch-Cache National Forest, near, Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Logan
Context triple: [Wasatch-Cache National Forest, near, Logan]
  • A. Logan
    Logan is a 2017 superhero film in the X-Men franchise that follows an aging Wolverine on a violent, character-driven road journey in a bleak near-future.
  • B. Logan
    Logan is a name commonly used as both a given name and surname in English-speaking countries.
  • C. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • D. Logan
    Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
  • E. Logan
    Logan is a residential neighborhood in North Philadelphia, Pennsylvania, known for its rowhouses and proximity to institutions like La Salle University.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Logan
Triple: [Wasatch-Cache National Forest, near, Logan]
Generated description
Logan is a city in northern Utah known as the home of Utah State University and a gateway to outdoor recreation in the surrounding mountains and forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Logan
Target entity description: Logan is a city in northern Utah known as the home of Utah State University and a gateway to outdoor recreation in the surrounding mountains and forests.
  • A. Logan chosen
    Logan is a city in northern Utah known for being home to Utah State University and for its scenic Cache Valley setting.
  • B. Logan
    Logan is a small city in southern West Virginia that serves as a local hub for the surrounding coal-mining region.
  • C. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • D. Logan
    Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
  • E. Logan
    Logan is a residential neighborhood in North Philadelphia, Pennsylvania, known for its rowhouses and proximity to institutions like La Salle University.
  • F. None of above.

Provenance (5 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8a07508190a2e5f8972d1efba0 completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bce5ef08190bca61ea94b5956d5 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ca19f308190ac9072c5a8d3b665 completed May 15, 2026, 1:16 p.m.
NED2 Entity disambiguation (via description) batch_6a071de35b9081908d1b6e797cbe69ce completed May 15, 2026, 1:21 p.m.
Created at: April 10, 2026, 1:32 p.m.