Triple
T19318122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pier 1 Imports |
E483150
|
entity |
| Predicate | reasonForStoreClosures |
P8451
|
FINISHED |
| Object | financial difficulties |
—
|
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: financial difficulties | Statement: [Pier 1 Imports, reasonForStoreClosures, financial difficulties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForStoreClosures Context triple: [Pier 1 Imports, reasonForStoreClosures, financial difficulties]
-
A.
restaurantClosureDate
Indicates the date on which a restaurant ceases or ceased operations, marking its official closure.
-
B.
closedAsStore
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
C.
temporarilyClosedFrom
Indicates that an entity is not accessible or operating for a specific, limited time period starting from a given point.
-
D.
closedCityDuring
Indicates that a city is not accessible or operational during a specified time period or interval.
-
E.
closureReason
chosen
Indicates the reason or cause for which an entity, process, or case has been closed or terminated.
- F. None of above.
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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d85046c81909d972a6b369b0c2b |
completed | April 20, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0ef66881909d489d634eee817a |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:32 p.m.