Triple

T1120534
Position Surface form Disambiguated ID Type / Status
Subject Atlantic City E24599 entity
Predicate partOf P40 FINISHED
Object Jersey Shore E21615 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: Jersey Shore | Statement: [Atlantic City, partOf, Jersey Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jersey Shore
Context triple: [Atlantic City, partOf, Jersey Shore]
  • A. Jersey Shore chosen
    Jersey Shore is a popular coastal region along the Atlantic Ocean in New Jersey known for its beaches, boardwalks, and seaside resort towns.
  • B. The Hills
    The Hills is an artificial parkland on Governors Island in New York Harbor featuring landscaped slopes, walking paths, and elevated viewpoints of the city skyline and Statue of Liberty.
  • C. Sunset Beach
    Sunset Beach is a famous North Shore Oahu surf spot known for its massive winter waves and picturesque sunsets.
  • D. O-Town
    O-Town is a popular nickname for the city of Orlando, Florida, often used in local culture and media.
  • E. O-Town
    O-Town is an American boy band formed on the reality TV series "Making the Band," known for early-2000s pop hits like "Liquid Dreams" and "All or Nothing."
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bbbe58588190a5ef6346e269d5f3 completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac539b6d9881909c3fe5890ae1f889 completed March 7, 2026, 4:34 p.m.
Created at: March 1, 2026, 7:43 p.m.