Triple

T15203837
Position Surface form Disambiguated ID Type / Status
Subject Roosevelt Boulevard E363334 entity
Predicate passesThrough P225 FINISHED
Object Mayfair E142642 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: Mayfair | Statement: [Roosevelt Boulevard, passesThrough, Mayfair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayfair
Context triple: [Roosevelt Boulevard, passesThrough, Mayfair]
  • A. Mayfair
    Mayfair is a residential neighborhood located within the city of Homewood, Alabama.
  • B. Mayfair
    Mayfair is an affluent central London district known for its luxury shops, exclusive residences, and prestigious hotels and restaurants.
  • C. Knightsbridge
    Knightsbridge is an affluent central London district renowned for its luxury shopping, upscale residences, and proximity to Hyde Park.
  • D. Mayfair neighborhood chosen
    The Mayfair neighborhood is a predominantly residential area in Northeast Philadelphia known for its rowhomes, strong community identity, and commercial corridor along Frankford Avenue.
  • E. Belgravia
    Belgravia is an affluent, predominantly residential district in central London known for its grand terraces, garden squares, and embassies.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b693a48190a6230b7b52bc8cd3 completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:10 a.m.