Triple
T13114809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federated Department Stores |
E311065
|
entity |
| Predicate | operated |
P1688
|
FINISHED |
| Object |
Burke’s
Burke’s was a regional American department store chain that later became part of the Federated Department Stores retail portfolio.
|
E1021627
|
NE FINISHED |
How this triple was built (4 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: Burke’s | Statement: [Federated Department Stores, operated, Burke’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burke’s Context triple: [Federated Department Stores, operated, Burke’s]
-
A.
Burke
Burke is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, parks, and proximity to Washington, D.C.
-
B.
Burke
Burke is a town located in Dane County, Wisconsin, known as a suburban community near the city of Madison.
-
C.
Burke
Burke is a common Irish-origin surname borne by numerous notable figures across politics, the arts, and public life.
-
D.
Trevelyan
Trevelyan is an English surname historically associated with several notable British families, politicians, and literary figures.
-
E.
Burney
Burney is an English surname most notably associated with the 18th-century music historian and composer Charles Burney and his literary family.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Burke’s Triple: [Federated Department Stores, operated, Burke’s]
Generated description
Burke’s was a regional American department store chain that later became part of the Federated Department Stores retail portfolio.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burke’s Target entity description: Burke’s was a regional American department store chain that later became part of the Federated Department Stores retail portfolio.
-
A.
Burke
Burke is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods, parks, and proximity to Washington, D.C.
-
B.
Burke
Burke is a common Irish-origin surname borne by numerous notable figures across politics, the arts, and public life.
-
C.
Burke
Burke is a town located in Dane County, Wisconsin, known as a suburban community near the city of Madison.
-
D.
Trevelyan
Trevelyan is an English surname historically associated with several notable British families, politicians, and literary figures.
-
E.
Burney
Burney is an English surname most notably associated with the 18th-century music historian and composer Charles Burney and his literary family.
- F. None of above. chosen
Provenance (5 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98180b6ac8190ae5a1f7c1480bd54 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e33f44208190881bee81c2a41850 |
completed | May 3, 2026, 5:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e407dd988190b928b8931985a815 |
completed | May 3, 2026, 5:58 a.m. |
Created at: April 9, 2026, 9:06 p.m.