Triple

T1320192
Position Surface form Disambiguated ID Type / Status
Subject HOME E28199 entity
Predicate neighbourhood P988 FINISHED
Object First Street E25338 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: First Street | Statement: [HOME, neighbourhood, First Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: First Street
Context triple: [HOME, neighbourhood, First Street]
  • A. First Street chosen
    First Street is a modern mixed-use district in central Manchester, England, known for its cultural venues, offices, dining, and public spaces.
  • B. Franklin Street
    Franklin Street is the central commercial and cultural corridor of Chapel Hill, North Carolina, known for its shops, restaurants, and proximity to the University of North Carolina campus.
  • C. Washington Street
    Washington Street is a major thoroughfare running through San Francisco’s Chinatown, known for its dense concentration of Chinese shops, restaurants, and cultural landmarks.
  • D. Washington Street
    Washington Street is a major historic thoroughfare in downtown Boston, Massachusetts, running through the city’s central civic and commercial districts.
  • E. Fourth Avenue
    Fourth Avenue is a major thoroughfare in Brooklyn, New York City, running through several neighborhoods and serving as a key corridor for traffic, transit, and local businesses.
  • 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_69a498540a2481909e807a762280d3ba completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c179883c8190b68fbeebb9696982 completed March 1, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab9dd008190a07b22ba3bd5bc22 completed March 8, 2026, 9:31 p.m.
Created at: March 1, 2026, 7:55 p.m.