Triple

T2704840
Position Surface form Disambiguated ID Type / Status
Subject Imaging Science System E59317 entity
Predicate capturedImagesOf P37258 FINISHED
Object Io E170675 NE 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: Io | Statement: [Imaging Science System, capturedImagesOf, Io]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Io
Context triple: [Imaging Science System, capturedImagesOf, Io]
  • A. Io
    Io is a figure from Greek mythology, a mortal woman loved by Zeus and tormented by Hera, whose wanderings and suffering are famously recounted in Aeschylus’ tragedy "Prometheus Bound."
  • B. Io chosen
    Io is a large, volcanically active moon of Jupiter and one of the four major Galilean satellites discovered by Galileo Galilei.
  • C. Callisto
    Callisto is a large, heavily cratered icy moon of Jupiter and one of the four Galilean satellites discovered by Galileo Galilei.
  • D. Ganymede
    Ganymede is the largest moon of Jupiter and the Solar System, notable for its icy surface, subsurface ocean, and intrinsic magnetic field.
  • E. Ganymede
    Ganymede is a divine hero in Greek mythology famed for his extraordinary beauty, whom Zeus carried off to serve as cupbearer to the gods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1fc30c81909ac06588d50abdf8 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf79c8648190a9041dd2903a1429 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.