Triple

T21513355
Position Surface form Disambiguated ID Type / Status
Subject U8 E530781 entity
Predicate hasUndergroundAlignment P15152 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: [U8, hasUndergroundAlignment, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUndergroundAlignment
Context triple: [U8, hasUndergroundAlignment, true]
  • A. hasUndergroundSection chosen
    Indicates that an entity includes a portion or segment that is located below ground level.
  • B. hasUndergroundLevel
    Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
  • C. hasUndergroundConnections
    Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
  • D. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
  • E. hasUndergroundLength
    Indicates the extent of an object or structure that lies below ground level, measured as its underground length.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69e6320043bc81909417c41a718652ba completed April 20, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:25 p.m.