Triple

T3494669
Position Surface form Disambiguated ID Type / Status
Subject 4th and Brannan station E73821 entity
Predicate servesDistrict P82 FINISHED
Object SoMa E248483 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: SoMa | Statement: [4th and Brannan station, servesDistrict, SoMa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SoMa
Context triple: [4th and Brannan station, servesDistrict, SoMa]
  • A. SoMa chosen
    SoMa is a large, formerly industrial neighborhood in San Francisco known for its tech offices, lofts, nightlife, and cultural institutions.
  • B. Mosaic District
    Mosaic District is a mixed-use urban neighborhood and shopping destination in Merrifield, Virginia, known for its upscale retail, dining, entertainment, and walkable, community-focused design.
  • C. Opportunity District
    Opportunity District is one of the three main themed zones at Expo 2020 Dubai, focused on social impact, unlocking human potential, and sustainable development initiatives.
  • D. Mobility District
    Mobility District is one of Expo 2020 Dubai’s main themed zones, dedicated to showcasing innovations and ideas around movement, transportation, and the seamless flow of people, goods, and information.
  • E. Surco
    Surco is a populous and upscale district in Lima, Peru, known for its residential areas, shopping centers, and green spaces.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbaebed881909d9cbc9c4c1f138f completed March 8, 2026, 6:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373c5e1248190a4c42805fb9363f0 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.