Triple

T12175198
Position Surface form Disambiguated ID Type / Status
Subject Module B (NIRCam) E290069 entity
Predicate fieldOfViewCoverage P2524 FINISHED
Object part of NIRCam total field of view 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: part of NIRCam total field of view | Statement: [Module B (NIRCam), fieldOfViewCoverage, part of NIRCam total field of view]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fieldOfViewCoverage
Context triple: [Module B (NIRCam), fieldOfViewCoverage, part of NIRCam total field of view]
  • A. sensorCoverage
    Indicates that a sensor’s detection or monitoring area spatially covers or includes a given region, object, or point.
  • B. hasFieldOfView chosen
    Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
  • C. azimuthCoverage
    Indicates the range or extent of directional angles (azimuths) over which something, such as a sensor or system, provides coverage or operates.
  • D. stageCoverage
    Indicates that one entity provides or has coverage, representation, or support for another within a particular stage or phase of a process or workflow.
  • E. fieldCovered
    Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
  • F. None of above.

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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91621ca6c81908365732f361aef13 completed April 10, 2026, 3:24 p.m.
PD Predicate disambiguation batch_69d9150e85348190b9b47cda4a17dcd0 completed April 10, 2026, 3:19 p.m.
Created at: April 8, 2026, 9:50 p.m.