Triple
T17225899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carson Pirie Scott |
E418112
|
entity |
| Predicate | flagshipStoreBuildingUse |
P126465
|
FINISHED |
| Object | department store |
—
|
LITERAL 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: department store | Statement: [Carson Pirie Scott, flagshipStoreBuildingUse, department store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipStoreBuildingUse Context triple: [Carson Pirie Scott, flagshipStoreBuildingUse, department store]
-
A.
flagshipStoreLocation
Indicates the location where an organization’s primary or most prominent store is situated.
-
B.
flagshipBuildingListedOn
Indicates that a particular flagship building is officially recorded or registered on a specified list or registry.
-
C.
flagshipVenue
Indicates that a venue serves as the primary or most important location associated with an organization, brand, or event series.
-
D.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
-
E.
flagshipStationFor
Indicates that one station serves as the primary or leading representative station for a particular network, organization, or service.
- F. None of above. chosen
Provenance (4 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de1674c81909ca9e87fa9153640 |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69e3873f62108190966c4e741ebd548d |
completed | April 18, 2026, 1:29 p.m. |
Created at: April 10, 2026, 5:38 a.m.