Triple

T15140897
Position Surface form Disambiguated ID Type / Status
Subject Hugh Low E361678 entity
Predicate dateOfFirstAscentOfMountKinabalu P8812 FINISHED
Object 1851 LITERAL 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: 1851 | Statement: [Hugh Low, dateOfFirstAscentOfMountKinabalu, 1851]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dateOfFirstAscentOfMountKinabalu
Context triple: [Hugh Low, dateOfFirstAscentOfMountKinabalu, 1851]
  • A. distanceToMountKinabalu
    Indicates the measured or calculated spatial distance between a given entity and Mount Kinabalu.
  • B. firstFreeAscentDate
    Indicates the date on which the first successful ascent of a route, peak, or climb was completed without the use of artificial aids for upward progress.
  • C. firstAscentYear chosen
    Indicates the calendar year in which something (typically a route, peak, or climb) was first successfully ascended.
  • D. firstMajorAscentOfHighestPeak
    Indicates the event or relationship in which a particular ascent is recognized as the first successful major climb of the highest peak in a given context (e.g., region, range, or category).
  • E. firstRecordedAscentOfArea
    Indicates the relationship between a specific ascent event and the geographic area where that ascent was first successfully recorded.
  • F. None of above.

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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c46a248190a2364092d40274f3 completed April 15, 2026, 9:40 p.m.
PD Predicate disambiguation batch_69deb9713fe881909dec2fd3f6c84b39 completed April 14, 2026, 10:02 p.m.
Created at: April 10, 2026, 3:07 a.m.