Triple

T23269660
Position Surface form Disambiguated ID Type / Status
Subject GALLEX E588251 entity
Predicate primaryBackgroundSuppression P68582 FINISHED
Object underground siting to reduce cosmic rays 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: underground siting to reduce cosmic rays | Statement: [GALLEX, primaryBackgroundSuppression, underground siting to reduce cosmic rays]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryBackgroundSuppression
Context triple: [GALLEX, primaryBackgroundSuppression, underground siting to reduce cosmic rays]
  • A. backgroundSuppression chosen
    Indicates that non-essential or contextual background elements are reduced, filtered out, or deemphasized relative to the primary subject or signal.
  • B. primaryBackdropFor
    Indicates that one entity serves as the main visual or contextual background element for another entity.
  • C. primaryPigment
    Indicates that one pigment is the main or dominant colorant used or present in relation to another entity.
  • D. primaryFront
    Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
  • E. foregrounds
    Indicates that one entity is brought into primary focus or prominence relative to others in a given context.
  • 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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1957324bc8190b8b53d4b18386151 completed April 29, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69effcecabd88190856fb6e1d993e4dd completed April 28, 2026, 12:18 a.m.
Created at: April 17, 2026, 4:45 p.m.