Triple
T7554887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Prussia Mall |
E178636
|
entity |
| Predicate | hasAnchor |
P13854
|
FINISHED |
| Object | Neiman Marcus |
E45208
|
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: Neiman Marcus | Statement: [King of Prussia Mall, hasAnchor, Neiman Marcus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neiman Marcus Context triple: [King of Prussia Mall, hasAnchor, Neiman Marcus]
-
A.
Neiman Marcus Group
chosen
Neiman Marcus Group is a luxury retail holding company best known for operating high-end department stores and specialty boutiques in the United States.
-
B.
Saks Fifth Avenue
Saks Fifth Avenue is a luxury American department store chain known for its high-end fashion, accessories, and flagship store on New York City's Fifth Avenue.
-
C.
Nordstrom
Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
-
D.
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.
-
E.
Jordan Marsh
Jordan Marsh was a prominent New England-based department store chain that operated for over a century before being absorbed into larger retail brands.
- 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_69c69f2da22c8190a50942ac20af70e8 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8d82dd481908351876edc70c4ec |
completed | March 27, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870780d24819095196cd3a22bec5a |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:49 p.m.