Triple

T11091298
Position Surface form Disambiguated ID Type / Status
Subject Davao Oriental E262260 entity
Predicate contains P35 FINISHED
Object San Isidro E900763 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: [Davao Oriental, contains, San Isidro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Isidro
Context triple: [Davao Oriental, contains, San Isidro]
  • A. San Isidro chosen
    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.
  • 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 Esteban
    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.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799ebae8c8190987b474adb7ede47 completed April 9, 2026, 12:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7c586808190a576803b7406a49e completed April 18, 2026, 8:21 p.m.
Created at: April 8, 2026, 9:27 p.m.