Triple

T15309463
Position Surface form Disambiguated ID Type / Status
Subject U7 E365989 entity
Predicate isEntirelyUnderground P78577 FINISHED
Object true 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: true | Statement: [U7, isEntirelyUnderground, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isEntirelyUnderground
Context triple: [U7, isEntirelyUnderground, true]
  • A. isUndergroundOnly chosen
    Indicates that something exists, operates, or is accessible exclusively below ground level and not above ground.
  • B. hasUndergroundLevel
    Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
  • C. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • D. operatedUnderground
    Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
  • E. hasUndergroundSection
    Indicates that an entity includes a portion or segment that is located below ground level.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd176708190b0f6ba17aed92f8e completed April 16, 2026, 1:35 a.m.
PD Predicate disambiguation batch_69deca935e2c8190b640987ddfc542b9 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:16 a.m.