Triple

T22830616
Position Surface form Disambiguated ID Type / Status
Subject New Orleans, Louisiana, United States E565791 entity
Predicate hasNeighborhood P40 FINISHED
Object Mid-City NE NERFINISHED

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: Mid-City | Statement: [New Orleans, Louisiana, United States, hasNeighborhood, Mid-City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mid-City
Context triple: [New Orleans, Louisiana, United States, hasNeighborhood, Mid-City]
  • A. Mid-City
    Mid-City is a central Los Angeles neighborhood known for its diverse residential communities and proximity to major city thoroughfares and cultural districts.
  • B. Mid-City chosen
    Mid-City is a historic, largely residential New Orleans neighborhood known for its diverse community, local eateries, and proximity to City Park and the streetcar line.
  • C. Mid-City District
    Mid-City District is an urban neighborhood within Chamblee, Georgia, known for its mixed-use development and central location in the city.
  • D. City Middle
    "City Middle" is a song by indie rock band The National from their critically acclaimed 2005 album *Alligator*.
  • E. Mid-Market neighborhood
    The Mid-Market neighborhood is a central San Francisco district known for its mix of historic theaters, tech offices, residential buildings, and ongoing urban revitalization efforts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2ac8d48190b6dc7edc5ad82bc7 completed April 29, 2026, 3:42 a.m.
Created at: April 17, 2026, 3:34 p.m.