Triple

T21573109
Position Surface form Disambiguated ID Type / Status
Subject NASA space missions E532330 entity
Predicate hasComponent P35 FINISHED
Object Kepler mission 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: Kepler mission | Statement: [NASA space missions, hasComponent, Kepler mission]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kepler mission
Context triple: [NASA space missions, hasComponent, Kepler mission]
  • A. Kepler space telescope
    The Kepler space telescope was a NASA space observatory designed to discover Earth-size exoplanets by continuously monitoring the brightness of over 150,000 stars.
  • B. Transiting Exoplanet Survey Satellite
    The Transiting Exoplanet Survey Satellite (TESS) is a NASA space telescope designed to discover exoplanets by monitoring the brightness of nearby stars for periodic dips caused by planetary transits.
  • C. Kipler
    Kipler is the surname of Judge Tyrone Kipler, a fictional judicial character.
  • D. Kepler
    Kepler is a prominent lunar impact crater on the Moon’s near side, notable for its bright ray system and relatively young geological age.
  • E. Kepler chosen
    Kepler was a NASA space telescope mission designed to discover Earth-sized exoplanets by monitoring the brightness of distant stars for transit signals.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eee9ce230c81909e12bd59497e2237 completed April 27, 2026, 4:45 a.m.
Created at: April 16, 2026, 6:30 p.m.