Triple
T25988165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Tauri-Hessia |
E646260
|
entity |
| Predicate | countryNature |
P2435
|
FINISHED |
| Object | imaginary country |
—
|
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: imaginary country | Statement: [King of Tauri-Hessia, countryNature, imaginary country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryNature Context triple: [King of Tauri-Hessia, countryNature, imaginary country]
-
A.
territorialNature
Indicates a tendency of an entity to defend or assert control over a specific area or domain against others.
-
B.
geographicalNature
Indicates the natural geographic characteristics or physical landscape type associated with a place or region.
-
C.
naturalAttractionOf
Indicates a relationship where one entity is a natural feature or site that draws interest, attention, or visitors from another entity.
-
D.
hasNature
chosen
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 22, 2026, 8:55 a.m.