Triple
T33862418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only One Earth |
E867957
|
entity |
| Predicate | countryFirstUsed |
P92926
|
FINISHED |
| Object | Sweden |
—
|
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: Sweden | Statement: [Only One Earth, countryFirstUsed, Sweden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryFirstUsed Context triple: [Only One Earth, countryFirstUsed, Sweden]
-
A.
wasFirstPerformedInCountry
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
B.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
-
C.
usedByCountriesWith
Indicates that something (such as an item, system, or practice) is utilized or employed by one or more specified countries in common.
-
D.
countryOfFirstMarketing
chosen
Indicates the country where a product was first introduced or made available on the market.
-
E.
countryNameUsage
Indicates how a country’s name is used or applied in a particular context or representation.
- 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_69f349943ccc8190a3c41a3e0ae46cbf |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a0116ca6a1c81909a9e938dbe54eb8a |
completed | May 10, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_6a0116655e248190bdfe5b4bb4f1cf47 |
completed | May 10, 2026, 11:36 p.m. |
Created at: May 1, 2026, 1:47 a.m.