Triple

T2706265
Position Surface form Disambiguated ID Type / Status
Subject Fine Guidance Sensor E59347 entity
Predicate supportsObservationModes P42123 FINISHED
Object imaging LITERAL 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: imaging | Statement: [Fine Guidance Sensor, supportsObservationModes, imaging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsObservationModes
Context triple: [Fine Guidance Sensor, supportsObservationModes, imaging]
  • A. supportsReferenceModes
    Indicates that an entity provides or is compatible with specific reference modes for identifying or accessing other entities.
  • B. observingTechnique
    Indicates the method or procedure used to carry out an observation.
  • C. isObservedIn
    Indicates that something (such as a phenomenon, property, or behavior) is detected, recorded, or found to occur within a particular context, setting, or environment.
  • D. alsoObservedOn
    Indicates that the same entity, event, or phenomenon was additionally observed on another occasion, date, or context beyond the primary one referenced.
  • E. observedVia
    Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
  • F. None of above. chosen

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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda725f24819090e8d936b3d2d5bc completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd82062988190b4292f242ad70b2c completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd9ceec708190aa162399023b2273 completed March 7, 2026, 7:54 a.m.
Created at: March 6, 2026, 9:55 p.m.