Triple

T18328117
Position Surface form Disambiguated ID Type / Status
Subject Westin Lima Hotel E439065 entity
Predicate district P2709 FINISHED
Object San Isidro — 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 Isidro | Statement: [Westin Lima Hotel, district, San Isidro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: San Isidro
Context triple: [Westin Lima Hotel, district, San Isidro]
  • A. San Isidro
    San Isidro is a coastal municipality in the province of Northern Samar in the Philippines, known for its rural communities and fishing-based local economy.
  • B. San Isidro chosen
    San Isidro is an affluent historic city and suburban district in the Greater Buenos Aires area, known for its colonial architecture, racetrack, and riverside setting along the Río de la Plata.
  • C. San Isidro
    San Isidro is a rural municipality in the province of Davao del Norte in the Philippines, known for its agricultural economy and small-town character.
  • D. San Isidro
    San Isidro is a municipality located in the Morazán Department of northeastern El Salvador, known for its rural character and mountainous surroundings.
  • E. San Isidro
    San Isidro is a coastal municipality in the Philippine province of Surigao del Norte known for its rural communities and access to beaches and fishing grounds.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aac14488190840b9c22209f13d1 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.