Triple

T755692
Position Surface form Disambiguated ID Type / Status
Subject Clean Air Action Plan E15549 entity
Predicate location P40 FINISHED
Object San Pedro Bay E24112 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 Bay | Statement: [Clean Air Action Plan, location, San Pedro Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Pedro Bay
Context triple: [Clean Air Action Plan, location, San Pedro Bay]
  • A. San Pedro Bay chosen
    San Pedro Bay is a natural harbor on the Southern California coast that serves as a major hub for international maritime trade and shipping.
  • B. San Pablo Bay
    San Pablo Bay is a shallow tidal estuary in northern California that forms the northern extension of the greater San Francisco Bay system.
  • C. San Juan Bay
    San Juan Bay is a historic natural harbor on the northern coast of Puerto Rico, serving as the maritime gateway to Old San Juan and one of the island’s most important ports.
  • D. Valparaíso Bay
    Valparaíso Bay is a natural Pacific Ocean bay on the central coast of Chile, known for hosting the major port city of Valparaíso and serving as a key maritime hub.
  • E. Guanabara Bay
    Guanabara Bay is a large, scenic natural harbor on Brazil’s southeastern coast, famed for its surrounding mountains, beaches, and the city of Rio de Janeiro along its shores.
  • 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_69a493599a0081908da65f3407af1ef2 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6693cbc8190a167e12a896d7ce7 completed March 1, 2026, 8:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79282d4d481908a2cb0f95a93220e completed March 4, 2026, 2:01 a.m.
Created at: March 1, 2026, 7:37 p.m.