Triple

T2511987
Position Surface form Disambiguated ID Type / Status
Subject Queens County E52721 entity
Predicate containsNeighborhood P4813 FINISHED
Object Arverne E251832 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: Arverne | Statement: [Queens County, containsNeighborhood, Arverne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arverne
Context triple: [Queens County, containsNeighborhood, Arverne]
  • A. Arverne chosen
    Arverne is a coastal neighborhood in the Rockaway Peninsula of Queens, New York City, known for its beachfront location and ongoing residential redevelopment.
  • B. Montgomeris
    Montgomeris is a variant form of the surname Montgomery, historically associated with Scottish and Norman lineages.
  • C. Oro-Medonte
    Oro-Medonte is a rural township in Simcoe County, Ontario, known for its rolling countryside, ski resorts, and recreational opportunities around Lake Simcoe.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Roxeth
    Roxeth is a residential district in the London Borough of Harrow, northwest London, known for its suburban character and proximity to Harrow-on-the-Hill.
  • 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_69ab4958e76481908a235377dd921c9e completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1efb5c48190a9b47b39a388412b completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1faed61481909f13b8a014b39ed3 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.