Triple
T36253468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blockbuster Video |
E891862
|
entity |
| Predicate | survivingStoreCountry |
P185393
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Blockbuster Video, survivingStoreCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingStoreCountry Context triple: [Blockbuster Video, survivingStoreCountry, United States]
-
A.
destinationCountryServed
Indicates that a given entity (such as a service, route, or provider) serves or operates to a specified destination country.
-
B.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
C.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
D.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
E.
maintainedInCountry
Indicates that something is kept, operated, or sustained within the jurisdiction or territory of a specified country.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:09 p.m.