Triple

T19586270
Position Surface form Disambiguated ID Type / Status
Subject STS-51-B E490113 entity
Predicate landingRunway P1654 FINISHED
Object Runway 17 NE NERFINISHED

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: Runway 17 | Statement: [STS-51-B, landingRunway, Runway 17]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runway 17
Context triple: [STS-51-B, landingRunway, Runway 17]
  • A. Runway 17 chosen
    Runway 17 is a designated Space Shuttle landing runway used for the touchdown of NASA missions such as STS-26.
  • B. Runway 14
    Runway 14 is one of the designated landing and takeoff strips at Katherine Airport in Australia, serving regional air traffic operations.
  • C. Runway 18
    Runway 18 is the southern runway end of Runway 18/36, designated for aircraft approaches and departures on a heading of approximately 180 degrees.
  • D. Runway 15
    Runway 15 is a specific landing runway used for the touchdown of NASA’s Space Shuttle mission STS-121.
  • E. Runway 11
    Runway 11 is a performance and event venue located within the AsiaWorld-Expo complex in Hong Kong.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e640523d10819091320a61456f6437 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.