Triple

T16305721
Position Surface form Disambiguated ID Type / Status
Subject Qinghai–Tibet Railway E395904 entity
Predicate highestPoint_name P210 FINISHED
Object Tanggula Pass E398440 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: Tanggula Pass | Statement: [Qinghai–Tibet Railway, highestPoint_name, Tanggula Pass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanggula Pass
Context triple: [Qinghai–Tibet Railway, highestPoint_name, Tanggula Pass]
  • A. Tanggula Pass chosen
    Tanggula Pass is a high mountain pass in the Tanggula Mountains of the Tibetan Plateau, known as one of the highest road and railway passes in the world.
  • B. Lamkhaga Pass
    Lamkhaga Pass is a high-altitude Himalayan mountain pass that serves as a challenging trekking route connecting Uttarakhand’s Uttarkashi region with Kinnaur in Himachal Pradesh.
  • C. Hochtor Pass
    Hochtor Pass is a high mountain pass in the Austrian Alps, best known as a key point along the scenic Grossglockner High Alpine Road.
  • D. Salang Pass
    Salang Pass is a high mountain pass in Afghanistan that serves as a crucial transport route through the Hindu Kush, linking the capital Kabul with the country's northern regions.
  • E. Chang La pass
    Chang La pass is a high-altitude mountain pass in the Ladakh region of India, known as one of the world’s highest motorable roads and a key route toward Pangong Tso.
  • 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: highestPoint_name
Context triple: [Qinghai–Tibet Railway, highestPoint_name, Tanggula Pass]
  • A. highestPoint chosen
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • B. containsHighestPointOf
    Indicates that one entity includes within its boundaries the location of the highest point of another entity.
  • C. trailHighPointOf
    Indicates that one location is the highest elevation point along a specified trail or route.
  • D. prominenceOfHighestPeak_m
    Indicates the vertical prominence, in meters, of the highest peak relative to the lowest contour line encircling it and no higher summit.
  • E. highestPointWestOf
    Indicates that one location is the highest-elevation point among all locations situated to the west of a specified reference location.
  • F. None of above.

Provenance (4 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa3353c8190825b31854a97220c completed May 10, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69e219fa5508819097e9d383348bf174 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:06 a.m.