Triple

T2826264
Position Surface form Disambiguated ID Type / Status
Subject Bridgeport E54929 entity
Predicate region P40 FINISHED
Object South Side E8994 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: South Side | Statement: [Bridgeport, region, South Side]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Side
Context triple: [Bridgeport, region, South Side]
  • A. South Side, Chicago chosen
    South Side, Chicago is a large, historically working-class region of Chicago known for its diverse neighborhoods, rich cultural and musical heritage, and significant role in the city’s industrial and social history.
  • B. Southside
    Southside is a shopping and leisure centre located on Victoria Street in central London.
  • C. Southside
    "Southside" is a hip-hop track by Common featuring Kanye West, known for its soulful production and reflective lyrics.
  • D. North Side of Chicago
    The North Side of Chicago is a densely populated, largely residential and commercial area of the city known for its lakefront neighborhoods, cultural attractions, and vibrant nightlife.
  • E. North Side
    North Side is a quiet, less-developed district on Grand Cayman in the Cayman Islands, known for its tranquil beaches, coastal scenery, and more rural, residential character.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde94ba848190b2c990936e07e6bb completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1eed270f881909f907890f5fac412 completed March 11, 2026, 10:38 p.m.
Created at: March 6, 2026, 9:59 p.m.