Triple

T8948661
Position Surface form Disambiguated ID Type / Status
Subject Los Andes Province E213286 entity
Predicate hasUrbanCenter P2106 FINISHED
Object San Esteban E768276 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 Esteban | Statement: [Los Andes Province, hasUrbanCenter, San Esteban]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Esteban
Context triple: [Los Andes Province, hasUrbanCenter, San Esteban]
  • A. San Esteban chosen
    San Esteban is a Chilean municipality and town located in the Los Andes Province of the Valparaíso Region, known for its agricultural activities and Andean foothill landscapes.
  • B. San Isidro
    San Isidro is an upscale, modern district of Lima, Peru, known for its financial center, embassies, parks, and high-end residential areas.
  • C. 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.
  • D. San Isidro
    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.
  • E. San Pedrito
    San Pedrito is a subway station in Buenos Aires that serves as the western terminus of the city's historic Line A.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6709c7a48190ab503083a1d6a29f completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93c678c81909d2ab68308d7c2f0 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:59 p.m.