Triple

T16690804
Position Surface form Disambiguated ID Type / Status
Subject High Resolution Stereo Camera E405587 entity
Predicate targetBody P860 FINISHED
Object Deimos E115113 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: Deimos | Statement: [High Resolution Stereo Camera, targetBody, Deimos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deimos
Context triple: [High Resolution Stereo Camera, targetBody, Deimos]
  • A. Deimos chosen
    Deimos is the smaller and outermost of Mars's two irregularly shaped moons, known for its dark, cratered surface and low gravity.
  • B. Phobos
    Phobos is the official standard library for the D programming language, providing core functionality and utilities for D developers.
  • C. Phobos
    Phobos is the larger and innermost of Mars’s two small, irregularly shaped moons, known for its rapid orbit and heavily cratered surface.
  • D. Thesan
    Thesan is the Etruscan goddess of the dawn, associated with light, new beginnings, and often linked to childbirth and divination.
  • E. Aegaeon
    Aegaeon is a figure from Greek mythology, often identified with the Hecatoncheires giant Briareus, known for having a hundred hands and fifty heads.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea8cabc8190ba321503399960da completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d36aa90819090b738c1c94dcb9f completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:19 a.m.