Triple

T22824167
Position Surface form Disambiguated ID Type / Status
Subject Church of San Juan E565306 entity
Predicate namedAfter P63 FINISHED
Object San Juan — 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: San Juan | Statement: [Church of San Juan, namedAfter, San Juan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Juan
Context triple: [Church of San Juan, namedAfter, San Juan]
  • A. San Juan
    San Juan is a common Spanish place name used for cities and towns across Latin America and Spain, often honoring Saint John.
  • B. San Juan
    San Juan is a highly urbanized city in Metro Manila, Philippines, known for its historical sites, dense residential and commercial areas, and role in the capital region’s urban core.
  • C. San Juan
    San Juan is a coastal municipality on Siquijor Island in the Philippines known for its beaches, dive spots, and laid-back tourist resorts.
  • D. San Juan
    San Juan is a coastal municipality in the Philippine province of Batangas known for its beaches, dive spots, and heritage sites.
  • E. San Juan
    San Juan is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its agricultural communities and proximity to the South China Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd34a248190881f2bccdd9aedce completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.