Triple

T12600111
Position Surface form Disambiguated ID Type / Status
Subject Monument Underground station E300833 entity
Predicate hasSubterraneanPassages P98017 FINISHED
Object yes 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: yes | Statement: [Monument Underground station, hasSubterraneanPassages, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSubterraneanPassages
Context triple: [Monument Underground station, hasSubterraneanPassages, yes]
  • A. hasCaves
    Indicates that one entity possesses, contains, or is characterized by the presence of caves.
  • B. hasUndergroundLevel chosen
    Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
  • C. hasUndergroundMine
    Indicates that one entity possesses, controls, or contains an underground mine associated with it.
  • D. subterranean
    Indicates that one entity is located beneath the surface of the ground or under another structure or area.
  • E. hasUndergroundDepth
    Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9559458dc8190bc4d6e697e99d70e completed April 10, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69d9541894fc8190a0c3706a414279f0 completed April 10, 2026, 7:48 p.m.
Created at: April 9, 2026, 5:09 p.m.