Triple

T23269590
Position Surface form Disambiguated ID Type / Status
Subject GERDA E588250 entity
Predicate undergroundDepthCategory P43725 FINISHED
Object deep underground laboratory 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: deep underground laboratory | Statement: [GERDA, undergroundDepthCategory, deep underground laboratory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: undergroundDepthCategory
Context triple: [GERDA, undergroundDepthCategory, deep underground laboratory]
  • A. hasUndergroundDepth chosen
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • B. subterranean
    Indicates that one entity is located beneath the surface of the ground or under another structure or area.
  • C. undergroundZone
    Indicates that something is located in, associated with, or occurring within an area beneath the ground surface.
  • D. undergroundBranch
    Indicates that one entity is a branch or extension of another that operates or exists in a hidden, secret, or non-public manner.
  • E. undergroundActivity
    Indicates that an entity is involved in or associated with covert, hidden, or clandestine operations or movements not conducted openly or officially.
  • 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.