Triple

T6816578
Position Surface form Disambiguated ID Type / Status
Subject State Route 110 E156775 entity
Predicate terminusSouth P1866 FINISHED
Object San Pedro E124932 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: [State Route 110, terminusSouth, San Pedro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro
Context triple: [State Route 110, terminusSouth, San Pedro]
  • A. San Pedro chosen
    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
    San Pedro is a Chilean commune and town located within the Santiago Metropolitan Region, known for its rural character and agricultural activities.
  • C. San Pedro
    San Pedro is a suburban city in the province of Laguna in the Philippines, known as a residential and industrial hub just south of Metro Manila.
  • 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 Mártir
    San Pedro Mártir is a neighborhood within Mexico City’s Tlalpan borough, known for its semi-rural character and location along the southern edge of the metropolis.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d32dc19c8190a871cc1ff1471a58 completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7426356a88190a36b53a46c1776e0 completed March 28, 2026, 2:52 a.m.
Created at: March 27, 2026, 2:17 p.m.