Triple
T27927679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shooting Stars |
E707884
|
entity |
| Predicate | primaryReleaseTerritory |
P67921
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Shooting Stars, primaryReleaseTerritory, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryReleaseTerritory Context triple: [Shooting Stars, primaryReleaseTerritory, Europe]
-
A.
publishedInTerritory
chosen
Indicates that something (such as a work, product, or edition) has been published within a specific geographic or legal territory.
-
B.
primaryTerritory
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
C.
primaryCountryServed
Indicates the main country that is primarily served or targeted by an entity’s activities, services, or operations.
-
D.
regionOfPrimarySale
Indicates the geographic region in which the primary sale of an item, asset, or product takes place.
-
E.
launchedInCountry
Indicates that an entity (such as a product, service, or mission) was officially initiated, introduced, or started within 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_69ef96bbf2c48190a9d0e0291457aab6 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: April 27, 2026, 7:01 p.m.