Triple

T6292756
Position Surface form Disambiguated ID Type / Status
Subject Spanish Colonial architecture E141057 entity
Predicate hasTypicalDoorType P8655 FINISHED
Object wooden door 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: wooden door | Statement: [Spanish Colonial architecture, hasTypicalDoorType, wooden door]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalDoorType
Context triple: [Spanish Colonial architecture, hasTypicalDoorType, wooden door]
  • A. hasDoor
    Indicates that one entity possesses or is equipped with a door that provides access to or through it.
  • B. doorType chosen
    Indicates the specific kind or category of door associated with an entity.
  • C. hasDoorMaterial
    Indicates that an entity’s door is made of, or primarily composed of, a specified material.
  • D. hasEndDoors
    Indicates that an object or structure is equipped with doors located at one or more of its ends.
  • E. doorConfiguration
    Indicates how a door is arranged or set up in relation to its frame, opening direction, and operational characteristics.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0642017588190b6c99c685653f6c2 completed March 22, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69c060df0d8881908215575862ef6831 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:27 p.m.