Triple

T15908002
Position Surface form Disambiguated ID Type / Status
Subject Katz's Delicatessen E385771 entity
Predicate alsoKnownAs P39 FINISHED
Object Katz's Deli E385771 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: Katz's Deli | Statement: [Katz's Delicatessen, alsoKnownAs, Katz's Deli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Katz's Deli
Context triple: [Katz's Delicatessen, alsoKnownAs, Katz's Deli]
  • A. Katz's Delicatessen chosen
    Katz's Delicatessen is a famous New York City Jewish deli on the Lower East Side, renowned for its pastrami sandwiches and iconic appearance in popular culture.
  • B. New York Deli
    New York Deli is a themed quick-service restaurant in Tokyo DisneySea’s American Waterfront area, styled after a classic New York City delicatessen.
  • C. Canter’s Deli
    Canter’s Deli is a historic, 24-hour Jewish delicatessen in Los Angeles renowned for its classic pastrami sandwiches, bakery, and role as a local cultural landmark.
  • D. Zabar's
    Zabar's is a famous New York City gourmet food market and delicatessen known for its smoked fish, bagels, and specialty foods.
  • E. Peter Luger
    Peter Luger was a German-American restaurateur best known as the founder of the iconic Peter Luger Steak House in Brooklyn, New York.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5a5b0dc81909606d667c3bc0edf completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.