Triple

T3824522
Position Surface form Disambiguated ID Type / Status
Subject Costa Verde highway E88653 entity
Predicate connectsDistrict P2564 FINISHED
Object San Isidro E22180 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 Isidro | Statement: [Costa Verde highway, connectsDistrict, San Isidro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Isidro
Context triple: [Costa Verde highway, connectsDistrict, San Isidro]
  • A. San Isidro chosen
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • B. 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.
  • C. El Rosario
    El Rosario is a municipality on the island of Tenerife in Spain’s Canary Islands, known for its coastal landscapes and proximity to the island’s capital, Santa Cruz de Tenerife.
  • D. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation lines.
  • E. San Borja
    San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
  • 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_69aed9538cf881909d9ce8ca4ac7c18c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb6223808190aee0c15259eeeecd completed March 9, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb4c70008190bb8712f46f40d6f8 completed March 14, 2026, 6:08 a.m.
Created at: March 9, 2026, 3:17 p.m.