Triple

T15387304
Position Surface form Disambiguated ID Type / Status
Subject NTT E367947 entity
Predicate hasScienceOutput P34352 FINISHED
Object contributes to optical and near-infrared astronomy 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: contributes to optical and near-infrared astronomy | Statement: [NTT, hasScienceOutput, contributes to optical and near-infrared astronomy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasScienceOutput
Context triple: [NTT, hasScienceOutput, contributes to optical and near-infrared astronomy]
  • A. hasScience
    Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
  • B. hasResearchOutput chosen
    Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
  • C. hasScientificValue
    Indicates that something possesses significance, usefulness, or merit within scientific research, understanding, or methodology.
  • D. hasScienceBody
    Indicates that an entity is associated with or possesses a scientific body, such as a scientific organization, committee, or authoritative scientific group.
  • E. hasScientificStudy
    Indicates that there exists a scientific study that investigates, analyzes, or provides evidence about the referenced entity or relationship.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
PD Predicate disambiguation batch_69ded27742a881909cd73cc5c7d062fd completed April 14, 2026, 11:49 p.m.
Created at: April 10, 2026, 3:19 a.m.