Triple

T11001659
Position Surface form Disambiguated ID Type / Status
Subject RISAT series satellites E260016 entity
Predicate imagingType P52562 FINISHED
Object synthetic aperture radar 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: synthetic aperture radar | Statement: [RISAT series satellites, imagingType, synthetic aperture radar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imagingType
Context triple: [RISAT series satellites, imagingType, synthetic aperture radar]
  • A. hasImagingType chosen
    Indicates the specific imaging modality or technique associated with or used in a given imaging procedure or result.
  • B. hasImagingFinding
    Indicates that an entity (typically a patient, case, or anatomical region) is associated with a specific observation or result identified through an imaging procedure (e.g., X-ray, CT, MRI).
  • C. imagedBy
    Indicates that something is captured, recorded, or represented in an image created by a particular imaging device, method, or agent.
  • D. imagedIn
    Indicates that one entity appears within or is depicted in an image associated with another entity.
  • E. imagingInstrument
    Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d760008190930228fa77b61b8b completed April 9, 2026, 12:08 p.m.
PD Predicate disambiguation batch_69d72e96be6c8190a46c69f61b2d8cd4 completed April 9, 2026, 4:44 a.m.
Created at: April 8, 2026, 9:25 p.m.