Triple

T7978629
Position Surface form Disambiguated ID Type / Status
Subject Y Mountain E185509 entity
Predicate hasLandmark P105 FINISHED
Object Y (hillside letter)
Y (hillside letter) is a large, white concrete "Y" installed on the slope of Y Mountain in Provo, Utah, serving as a prominent symbol of Brigham Young University.
 E703240 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: Y (hillside letter) | Statement: [Y Mountain, hasLandmark, Y (hillside letter)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Y (hillside letter)
Context triple: [Y Mountain, hasLandmark, Y (hillside letter)]
  • A. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • B. YL
    YL is the commonly used abbreviation for Young Labour, the youth wing of the UK Labour Party.
  • C. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • D. Y2
    Y2 is the station code assigned to Shuri Station, a railway station in Naha, Okinawa, Japan.
  • E. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • 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: Y (hillside letter)
Triple: [Y Mountain, hasLandmark, Y (hillside letter)]
Generated description
Y (hillside letter) is a large, white concrete "Y" installed on the slope of Y Mountain in Provo, Utah, serving as a prominent symbol of Brigham Young University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Y (hillside letter)
Target entity description: Y (hillside letter) is a large, white concrete "Y" installed on the slope of Y Mountain in Provo, Utah, serving as a prominent symbol of Brigham Young University.
  • A. YB
    YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
  • B. YL
    YL is the commonly used abbreviation for Young Labour, the youth wing of the UK Labour Party.
  • C. YV
    YV is the IATA airline designator used to identify Mesa Airlines in flight schedules and ticketing systems.
  • D. Y2
    Y2 is the station code assigned to Shuri Station, a railway station in Naha, Okinawa, Japan.
  • E. YLE
    YLE is Finland’s national public broadcasting company, providing television, radio, and online services across the country.
  • F. None of above. chosen

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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf84b1081908e60a556d984aad6 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0d3c724819087df03cea2ed998f completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.