Triple

T17426713
Position Surface form Disambiguated ID Type / Status
Subject Small Carry-on Impactor E423755 entity
Predicate observationSupport P71680 FINISHED
Object deployment of DCAM3 camera to observe the impact 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: deployment of DCAM3 camera to observe the impact | Statement: [Small Carry-on Impactor, observationSupport, deployment of DCAM3 camera to observe the impact]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: observationSupport
Context triple: [Small Carry-on Impactor, observationSupport, deployment of DCAM3 camera to observe the impact]
  • A. observationType
    Indicates the specific kind or category of observation being made or recorded in a given context.
  • B. supportsObservation chosen
    Indicates that one entity provides evidence, context, or infrastructure that enables or strengthens the validity of an observation made about another entity.
  • C. observation
    Indicates that one entity perceives, monitors, or takes note of another entity or phenomenon, typically to gather information about it.
  • D. observerStatusIn
    Indicates that an entity’s status or role is defined or valid within a specified observational context, system, or environment.
  • E. observationPlatform
    Indicates that one entity serves as the physical or virtual platform, site, or facility from which observations of another entity or phenomenon are made.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448fcbf54819091babed0b9b05716 completed April 19, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69e3b030eac481909b8402719cc3102e completed April 18, 2026, 4:24 p.m.
Created at: April 10, 2026, 5:46 a.m.