Triple

T3189203
Position Surface form Disambiguated ID Type / Status
Subject Mad River Mountain E66775 entity
Predicate isLargestSkiAreaIn P46536 FINISHED
Object Ohio E30904 NE FINISHED

How this triple was built (3 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: Ohio | Statement: [Mad River Mountain, isLargestSkiAreaIn, Ohio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohio
Context triple: [Mad River Mountain, isLargestSkiAreaIn, Ohio]
  • A. Ohio chosen
    Ohio is a Midwestern U.S. state known for its diverse economy, major cities like Columbus, Cleveland, and Cincinnati, and its significant role in national politics as a historic swing state.
  • B. Indiana
    Indiana is a U.S. state known for its manufacturing base, rich agricultural land, and iconic events like the Indianapolis 500.
  • C. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry centered in Detroit, and diverse natural landscapes.
  • D. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its extensive freshwater coastline, automotive industry heritage, and diverse forests and waterways.
  • E. Michigan
    Michigan is a U.S. state in the Great Lakes region known for its automotive industry, extensive freshwater coastline, and manufacturing heritage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLargestSkiAreaIn
Context triple: [Mad River Mountain, isLargestSkiAreaIn, Ohio]
  • A. skiAreaName
    Indicates that an entity has a specific name used to identify a ski area.
  • B. hasNightSkiing
    Indicates that a location or facility offers skiing activities that take place during nighttime under artificial lighting.
  • C. skiAreaType
    Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
  • D. hasSkiLifts
    Indicates that one location or facility is equipped with ski lifts that provide transportation for skiers or visitors.
  • E. isLargestGlacierOn
    Indicates that one glacier is the largest glacier located on a specified geographic entity (such as an island, continent, or region).
  • 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_69ad8587c1bc8190a2595f2c22ee1001 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6e491508190bc881feaee3889bc completed March 8, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276fbb7c481909097f5af619e45f4 completed March 12, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69ad9e04290481909092ddfbe6fdaabc completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada148e9108190b363dd0f1a94ac8e completed March 8, 2026, 4:18 p.m.
Created at: March 8, 2026, 3:06 p.m.