Triple
T10771782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zabar's |
E254097
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Zabar's |
E254097
|
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: Zabar's | Statement: [Zabar's, name, Zabar's]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabar's Context triple: [Zabar's, name, Zabar's]
-
A.
Zabar's
chosen
Zabar's is a famous New York City gourmet food market and delicatessen known for its smoked fish, bagels, and specialty foods.
-
B.
Katz's Delicatessen
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.
-
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.
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.
-
E.
Bergner's
Bergner's was a regional American department store chain known for selling mid-range apparel, home goods, and accessories, primarily in the Midwest.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7329a281081909cdc4b971cf69207 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de23798af48190874d7e12c5155913 |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.