Triple

T19439144
Position Surface form Disambiguated ID Type / Status
Subject San Miguel, Manila E486296 entity
Predicate hasLandmark P105 FINISHED
Object San Miguel Church E1243638 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: San Miguel Church | Statement: [San Miguel, Manila, hasLandmark, San Miguel Church]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Miguel Church
Context triple: [San Miguel, Manila, hasLandmark, San Miguel Church]
  • A. San Miguel Church
    San Miguel Church is a historic Catholic church in the Bolivian city of Oruro, known for its colonial-era architecture and religious significance.
  • B. San Miguel Church
    San Miguel Church is a historic Catholic church and notable architectural landmark located in the city of Cuenca.
  • C. San Miguel Church
    San Miguel Church is a historic Romanesque-Gothic Catholic church located in the city of Palencia in northern Spain.
  • D. San Miguel Church chosen
    San Miguel Church is a historic Roman Catholic church in Manila, Philippines, known for its Spanish colonial architecture and religious significance.
  • E. San Miguel church
    San Miguel church is a historic Catholic church located in the town of Batopilas in the state of Chihuahua, Mexico.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633637ea48190bfa36b0b0a2762bc completed April 20, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733e006108190b3c69d3224bc3d25 completed May 15, 2026, 2:55 p.m.
Created at: April 10, 2026, 1:38 p.m.