Triple
T20879538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurmengard |
E514106
|
entity |
| Predicate | countryInCanon |
P142226
|
FINISHED |
| Object | unknown (implied continental Europe) |
—
|
LITERAL FINISHED |
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: unknown (implied continental Europe) | Statement: [Nurmengard, countryInCanon, unknown (implied continental Europe)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryInCanon Context triple: [Nurmengard, countryInCanon, unknown (implied continental Europe)]
-
A.
country1
Indicates that the subject entity is a country (or represents a country) in the given context.
-
B.
countryDeJure
Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another entity.
-
C.
countryStart
Indicates that an entity marks the beginning or starting point of a country-related extent, boundary, or association.
-
D.
countryDuring
Indicates that one entity exists, occurs, or is valid within the temporal span during which the other entity is recognized as a specific country.
-
E.
countryInReality
Indicates that a given country exists or is recognized as such within a particular real-world context or scenario.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.