Triple

T4881269
Position Surface form Disambiguated ID Type / Status
Subject Arganda del Rey E109331 entity
Predicate hasWineMakingTradition P59581 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: [Arganda del Rey, hasWineMakingTradition, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWineMakingTradition
Context triple: [Arganda del Rey, hasWineMakingTradition, true]
  • A. nationalWineTradition
    Indicates that a country or region has an established cultural and historical practice of producing, consuming, and valuing wine.
  • B. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • C. producesWine
    Indicates that one entity creates or manufactures wine as a product.
  • D. hasWinery
    Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
  • E. hasVineyards
    Indicates that one entity possesses, contains, or is associated with vineyards used for growing grapevines.
  • F. None of above. chosen

Provenance (4 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_69bd440e9d64819083e82cf33b4d9570 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6dde6fcc8190a5aa7587f85632bd completed March 20, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69bd6c2be5e881909f6ec9c3bcde49f3 completed March 20, 2026, 3:47 p.m.
PDg Predicate description generation batch_69bd6d5976a081909090c0c263f6e9b7 completed March 20, 2026, 3:52 p.m.
Created at: March 20, 2026, 1:27 p.m.