Triple
T28899091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nemesis |
E732904
|
entity |
| Predicate | countryOfReleaseName |
P8709
|
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: [Nemesis, countryOfReleaseName, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfReleaseName Context triple: [Nemesis, countryOfReleaseName, Europe]
-
A.
countryOfRelease
chosen
Indicates the country in which an item (such as a product, work, or media) was officially released.
-
B.
countryOfFirstRelease
Indicates the country in which a work (such as a film, game, or product) was first officially released.
-
C.
reReleasedInCountry
Indicates that a previously released work was released again in a specified country.
-
D.
countryOfTitle
Indicates the country with which a given title (such as a noble, official, or honorific title) is formally associated or under whose jurisdiction it is held.
-
E.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: April 28, 2026, 8:01 a.m.