Triple
T6676410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower East Side |
E151862
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Katz's Delicatessen |
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 Delicatessen | Statement: [Lower East Side, hasLandmark, Katz's Delicatessen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katz's Delicatessen Context triple: [Lower East Side, hasLandmark, Katz's Delicatessen]
-
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.
Zabar's
Zabar's is a famous New York City gourmet food market and delicatessen known for its smoked fish, bagels, and specialty foods.
-
C.
Zingerman's Delicatessen
Zingerman's Delicatessen is a renowned gourmet deli and specialty food shop famous for its oversized sandwiches, artisanal products, and role as a culinary landmark.
-
D.
Hecht's
Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
-
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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0f4184481908869354addf4f8c4 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a57bd88190a423ff7d2139aa51 |
completed | March 27, 2026, 9:33 p.m. |
Created at: March 27, 2026, 2:03 p.m.