Triple

T22842165
Position Surface form Disambiguated ID Type / Status
Subject LNGS E566110 entity
Predicate shieldingDepthWaterEquivalent P145651 FINISHED
Object about 3800 meters water equivalent 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: about 3800 meters water equivalent | Statement: [LNGS, shieldingDepthWaterEquivalent, about 3800 meters water equivalent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: shieldingDepthWaterEquivalent
Context triple: [LNGS, shieldingDepthWaterEquivalent, about 3800 meters water equivalent]
  • A. depthInMetersWaterEquivalent chosen
    Indicates the depth of something expressed as the equivalent thickness of water (in meters) that would produce the same shielding or overburden effect.
  • B. depthBelowSurfaceInMeters
    Indicates the vertical distance, measured in meters, that something is located below a reference surface level.
  • C. requiresShielding
    Indicates that one entity must be protected or insulated from another entity or from certain conditions, typically for safety or proper functioning.
  • D. hasWaterDepthCategory
    Indicates the classification of something based on the range or category of its water depth.
  • E. dustResistanceRating
    Indicates the level or degree to which something is protected against or unaffected by dust.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
PD Predicate disambiguation batch_69eed2d117088190acbfe130d84f8627 completed April 27, 2026, 3:06 a.m.
Created at: April 17, 2026, 3:35 p.m.