Triple
T21049415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carousel Center |
E518534
|
entity |
| Predicate | hadAnchorTenant |
P11754
|
FINISHED |
| Object | Lord & Taylor |
—
|
NE NERFINISHED |
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: Lord & Taylor | Statement: [Carousel Center, hadAnchorTenant, Lord & Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord & Taylor Context triple: [Carousel Center, hadAnchorTenant, Lord & Taylor]
-
A.
Lord & Taylor
chosen
Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
-
B.
Dillard's
Dillard's is a major American department store chain offering a wide range of apparel, cosmetics, and home goods, primarily located in shopping malls across the United States.
-
C.
Bloomingdale's
Bloomingdale's is a high-end American department store chain known for its designer fashion, luxury goods, and flagship locations in major cities.
-
D.
Macy's
Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
-
E.
The Bon-Ton
The Bon-Ton was a regional department store chain in the United States known for selling clothing, shoes, cosmetics, and home goods, primarily in mid-sized markets.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd79830881909fdac2f0ea48d28c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:34 p.m.