Triple

T13767570
Position Surface form Disambiguated ID Type / Status
Subject Al-Zarqali E330788 entity
Predicate notableWork P4 FINISHED
Object Toledan Tables E883612 NE 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: Toledan Tables | Statement: [Al-Zarqali, notableWork, Toledan Tables]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toledan Tables
Context triple: [Al-Zarqali, notableWork, Toledan Tables]
  • A. Toledan Tables chosen
    The Toledan Tables are a set of medieval astronomical tables compiled in 11th–12th century Toledo that provided planetary positions and eclipses and became a standard reference for European astronomers before the Alfonsine Tables.
  • B. Las Tablas
    Las Tablas is a prominent town in Panama known as a cultural center of the Azuero Peninsula, especially famous for its vibrant traditional festivals and folklore.
  • C. Tábua
    Tábua is a municipality in central Portugal known for its rural landscapes, traditional villages, and location between the Mondego and Alva rivers.
  • D. Toledano
    Toledano is the Spanish term used to refer to people or things originating from the historic city of Toledo in central Spain.
  • E. Tabulahan
    Tabulahan is a dialect of the Aralle-Tabulahan language spoken by a local community in West Sulawesi, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0724ab481908448d71a1bd02253 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:10 p.m.