Triple

T16360816
Position Surface form Disambiguated ID Type / Status
Subject Paombong E397304 entity
Predicate hasBarangay P29835 FINISHED
Object San Pedro E885370 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 Pedro | Statement: [Paombong, hasBarangay, San Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro
Context triple: [Paombong, hasBarangay, San Pedro]
  • A. San Pedro
    San Pedro is a coastal neighborhood in the city of Los Angeles known for its busy port, waterfront attractions, and maritime heritage.
  • B. San Pedro chosen
    San Pedro is a common Spanish place name element often referring to locations named after Saint Peter, such as towns, neighborhoods, or municipalities in Spanish-speaking regions.
  • C. San Pedro
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • D. San Pedro
    San Pedro is a popular coastal town on Ambergris Caye in Belize, known for its laid-back atmosphere and easy access to the Belize Barrier Reef.
  • E. San Pedro
    San Pedro is the main town and administrative center of the municipality of Breña Alta on the island of La Palma in Spain’s Canary Islands.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad304448190b3f6f0350a1e151d completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00355df6188190929be8584b5ac87e completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:08 a.m.