Triple

T14907636
Position Surface form Disambiguated ID Type / Status
Subject Castillo de Guzmán el Bueno E371176 entity
Predicate namedAfter P63 FINISHED
Object Guzmán el Bueno E981746 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: Guzmán el Bueno | Statement: [Castillo de Guzmán el Bueno, namedAfter, Guzmán el Bueno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guzmán el Bueno
Context triple: [Castillo de Guzmán el Bueno, namedAfter, Guzmán el Bueno]
  • A. Guzmán el Bueno
    Guzmán el Bueno is a Madrid Metro station serving as an interchange between Line 6 and Line 7 in the Chamberí district of Spain’s capital.
  • B. Guzmán el Bueno chosen
    Guzmán el Bueno was a famed 13th-century Castilian nobleman and military leader celebrated for his loyalty and heroism during the Reconquista.
  • C. Francisco Zarco
    Francisco Zarco is a rural community in the municipality of Ensenada, Baja California, known for its vineyards and role in the Guadalupe Valley wine region.
  • D. Al Diaz
    Al Diaz is an American artist best known as the co-creator, with Jean-Michel Basquiat, of the influential late-1970s New York graffiti project SAMO.
  • E. León Cortés Castro
    León Cortés Castro is a canton in Costa Rica known for its coffee-producing rural communities and location in the mountainous region of San José Province.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded61b3c808190b4f6df4e5cb401ad completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b91cbc8190af5a3e2db460bacc completed May 8, 2026, 11:33 p.m.
Created at: April 10, 2026, 2:23 a.m.