Triple

T3000885
Position Surface form Disambiguated ID Type / Status
Subject Mount Kenya E81182 entity
Predicate thirdHighestPeak P44963 FINISHED
Object Point Lenana E318862 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: Point Lenana | Statement: [Mount Kenya, thirdHighestPeak, Point Lenana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Point Lenana
Context triple: [Mount Kenya, thirdHighestPeak, Point Lenana]
  • A. Point Lenana chosen
    Point Lenana is the third-highest peak of Mount Kenya and a popular, non-technical trekking summit for climbers.
  • B. Courthézon
    Courthézon is a commune in southeastern France’s Vaucluse department, known for its historic village center, wine production in the Côtes du Rhône region, and proximity to Châteauneuf-du-Pape.
  • C. L’Espoir
    L’Espoir is a 1937 novel by André Malraux that portrays the political and human drama of the Spanish Civil War.
  • D. Nelson
    Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
  • E. Nelson
    Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
  • 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: thirdHighestPeak
Context triple: [Mount Kenya, thirdHighestPeak, Point Lenana]
  • A. isSecondHighestPeakIn
    Indicates that one entity is the mountain or peak with the second greatest elevation within the geographic or contextual set defined by the other entity.
  • B. territorialPeak
    Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
  • C. areaPeak
    Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
  • D. highestPoint
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • E. notablePeak
    Indicates that one entity is a peak or summit that is especially prominent, famous, or significant in relation to another entity.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea057a48190a7911d8d6046dd3d completed March 11, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69ad9615fefc8190ad96da92519cb7a3 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97ba55dc8190b6dddddfb751cf64 completed March 8, 2026, 3:37 p.m.
Created at: March 8, 2026, 2:59 p.m.