Triple

T4246769
Position Surface form Disambiguated ID Type / Status
Subject Nassau Community College E95547 entity
Predicate location P40 FINISHED
Object Garden City, New York E140625 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: Garden City, New York | Statement: [Nassau Community College, location, Garden City, New York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Garden City, New York
Context triple: [Nassau Community College, location, Garden City, New York]
  • A. Garden City, New York chosen
    Garden City, New York is an affluent suburban village on Long Island known for its planned community design, residential character, and major commercial centers.
  • B. Garden City
    Garden City is the popular nickname of Port Harcourt, a major oil-producing city in southern Nigeria known for its greenery and urban parks.
  • C. Garden City
    Garden City is the popular nickname for Toowoomba, a major city on the Darling Downs in Queensland, Australia, renowned for its numerous parks and annual flower festival.
  • D. Garden City
    Garden City is the nickname of Missoula, Montana, reflecting its lush, green landscape and abundant trees.
  • E. Garden City
    Garden City is a popular nickname for Bengaluru, highlighting its historic abundance of parks, trees, and green spaces.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9b64ac81908dc44eaae6829b50 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69be396a2ff481908974870ceb903188 completed March 21, 2026, 6:23 a.m.
Created at: March 12, 2026, 11:05 p.m.