Triple

T2970
Position Surface form Disambiguated ID Type / Status
Subject Las Campanas Observatory E55 entity
Predicate hasInstrument P35 FINISHED
Object optical imagers 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: optical imagers | Statement: [Las Campanas Observatory, hasInstrument, optical imagers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasInstrument
Context triple: [Las Campanas Observatory, hasInstrument, optical imagers]
  • A. hasPart chosen
    Indicates that one entity is a component, segment, or constituent part of another entity.
  • B. hasCharacteristic
    Indicates that an entity possesses, exhibits, or is defined by a particular attribute, feature, or quality.
  • C. isMechanicalOrElectronic
    Indicates that something operates using mechanical components, electronic components, or a combination of both.
  • D. signedInstrument
    Indicates that an entity has formally signed or executed a specific document, contract, or other legal instrument.
  • E. hasOnlinePlatform
    Indicates that an entity operates, maintains, or is associated with a presence or service on an online platform.
  • 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_69a2328f0e848190ac2840eaf2d5ebd2 completed Feb. 28, 2026, 12:10 a.m.
NER Named-entity recognition batch_69a2346846608190b6b40d31f1dbd685 completed Feb. 28, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69a233c396ec8190986608d07fb251d4 completed Feb. 28, 2026, 12:16 a.m.
Created at: Feb. 28, 2026, 12:13 a.m.