Triple
T32645071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Escape Room (2019 film) |
E834575
|
entity |
| Predicate | distributedInTerritory |
P42913
|
FINISHED |
| Object | North America |
—
|
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: North America | Statement: [Escape Room (2019 film), distributedInTerritory, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributedInTerritory Context triple: [Escape Room (2019 film), distributedInTerritory, North America]
-
A.
distributorTerritory
chosen
Indicates the geographic area or market in which a distributor is authorized or responsible to sell or distribute products or services.
-
B.
publishedInTerritory
Indicates that something (such as a work, product, or edition) has been published within a specific geographic or legal territory.
-
C.
distributionByCountry
Indicates how something is allocated, spread, or categorized according to different countries.
-
D.
distributionAvailability
Indicates that a product or resource is available for distribution through a particular channel, location, or method.
-
E.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
- 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_69f3492e773c81908afc10651e46cad3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 1:07 a.m.