Triple
T30916709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zellers |
E787599
|
entity |
| Predicate | remainingStoresClosedBy |
P170817
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Zellers, remainingStoresClosedBy, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainingStoresClosedBy Context triple: [Zellers, remainingStoresClosedBy, 2020]
-
A.
mostStoresClosedBy
Indicates that the majority of stores associated with one entity were closed as a result of an action taken by another entity.
-
B.
closedAsStore
Indicates that an entity has ceased operations specifically in its role or function as a store.
-
C.
restaurantClosureDate
Indicates the date on which a restaurant ceases or ceased operations, marking its official closure.
-
D.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
E.
closingLocation
Indicates the place or venue where an event, process, or activity comes to an end or is formally concluded.
- 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_69f224be300c8190a6513ce1ee0a7026 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ed5d008190831cf8e44cce28af |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:51 p.m.