Triple

T5949819
Position Surface form Disambiguated ID Type / Status
Subject Atchison, Topeka and Santa Fe Railway E132368 entity
Predicate famousPassengerTrain P1669 FINISHED
Object San Diegan E36927 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 Diegan | Statement: [Atchison, Topeka and Santa Fe Railway, famousPassengerTrain, San Diegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Diegan
Context triple: [Atchison, Topeka and Santa Fe Railway, famousPassengerTrain, San Diegan]
  • A. San Diego chosen
    San Diego is a large coastal city in Southern California known for its mild climate, beaches, naval base, and proximity to the Mexican border.
  • B. Santa Barbara
    Santa Barbara is a picturesque coastal city in California known for its Mediterranean climate, red-tile roofs, and distinctive Spanish Colonial Revival architecture.
  • C. Santa Barbara
    Santa Barbara is a historic inland municipality in Iloilo province in the Philippines, known for its role in the Philippine Revolution and its well-preserved heritage sites.
  • D. Carlsbad
    Carlsbad is a city in southeastern New Mexico known as the gateway to Carlsbad Caverns National Park.
  • E. Carlsbad
    Carlsbad is a coastal city in northern San Diego County, California, known for its beaches, family attractions like LEGOLAND California, and affluent residential communities.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c049ff0eec8190834f77bafae943ce completed March 22, 2026, 7:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3cb29f8819095d44ae3ad193fb2 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.