Triple

T23177325
Position Surface form Disambiguated ID Type / Status
Subject Diego Laínez E579039 entity
Predicate placeOfBirth P1 FINISHED
Object Almazán NE NERFINISHED

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: Almazán | Statement: [Diego Laínez, placeOfBirth, Almazán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almazán
Context triple: [Diego Laínez, placeOfBirth, Almazán]
  • A. Almazán chosen
    Almazán is a historic town in the province of Soria, Castile and León, Spain, known for its medieval heritage and role in regional political agreements.
  • B. Retiendas
    Retiendas is a small rural village in central Spain’s province of Guadalajara, known for its traditional architecture and scenic natural surroundings within the Sierra Norte de Guadalajara.
  • C. Bazmark
    Bazmark is an Australian film production company founded by director Baz Luhrmann, known for visually lavish and stylistically distinctive movies such as "Moulin Rouge!" and "The Great Gatsby."
  • D. Tezon Grande warehouse
    Tezon Grande warehouse is a historic storage building located on the Venetian island of Lazzaretto Nuovo, traditionally used for maritime and quarantine-related goods.
  • E. Cine Bazar
    Cine Bazar is a Japanese film production company known for its involvement in major genre films such as the 2016 kaiju movie "Shin Godzilla."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6b823c8190a2d39c54e48a1001 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.