Triple

T20527067
Position Surface form Disambiguated ID Type / Status
Subject Segovia Aqueduct E503964 entity
Predicate hasLowerArcade P24796 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: [Segovia Aqueduct, hasLowerArcade, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLowerArcade
Context triple: [Segovia Aqueduct, hasLowerArcade, yes]
  • A. hasArcades chosen
    Indicates that one entity features or contains arcaded structures (a series of arches or covered passageways) associated with another entity.
  • B. hasLowerTier
    Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
  • C. hasLowerDeckFunction
    Indicates that an entity serves a specific role or performs a designated function on the lower deck of a structure or vehicle.
  • D. hasLowerPart
    Indicates that one entity includes another entity as a component specifically located in its lower part or region.
  • E. hasLowerCave
    Indicates that one location or structure possesses or is associated with another cave situated at a lower level or beneath it.
  • 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_69e0b4b3a6e08190ae663701f50fab8e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a066402081909dd53830eb637ad0 completed April 20, 2026, 9:53 p.m.
PD Predicate disambiguation batch_69e59fdb7ad88190924176c32a195db3 completed April 20, 2026, 3:39 a.m.
Created at: April 16, 2026, 11:37 a.m.