Triple

T7632234
Position Surface form Disambiguated ID Type / Status
Subject Nunnery Complex E172784 entity
Predicate hasBuilding P105 FINISHED
Object La Iglesia E172783 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: La Iglesia | Statement: [Nunnery Complex, hasBuilding, La Iglesia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Iglesia
Context triple: [Nunnery Complex, hasBuilding, La Iglesia]
  • A. La Iglesia chosen
    La Iglesia is a smaller, intricately decorated Maya temple structure within the Chichén Itzá archaeological site on Mexico’s Yucatán Peninsula.
  • B. La Fe
    La Fe is a small town located on Isla de la Juventud, an island municipality of Cuba.
  • C. La Catedral
    La Catedral is the iconic nickname of Athletic Club’s historic San Mamés stadium, renowned for its intense atmosphere and deep footballing tradition in Bilbao.
  • D. La catedral
    La catedral is a novel by Spanish writer Vicente Blasco Ibáñez that offers a critical, realist portrayal of Spanish society and the Catholic Church in the early 20th century.
  • E. A Catedral
    A Catedral is the famous nickname of Estádio da Luz, the iconic home stadium of Portuguese football club S.L. Benfica in Lisbon.
  • 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_69c69952849881908fdcea7a93bfc307 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faa5f4f08190a7e5259a1b6fb576 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c870b95c1c8190a7d885bd0a534a6a completed March 29, 2026, 12:22 a.m.
Created at: March 27, 2026, 3:57 p.m.