Triple
T3927792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triglav National Park |
E93318
|
entity |
| Predicate | coversPercentageOfSlovenia |
P18214
|
FINISHED |
| Object | about 4% |
—
|
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: about 4% | Statement: [Triglav National Park, coversPercentageOfSlovenia, about 4%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversPercentageOfSlovenia Context triple: [Triglav National Park, coversPercentageOfSlovenia, about 4%]
-
A.
coversPercentageOfIsland
Indicates the proportion of an island’s total area that is occupied or covered by a specified entity.
-
B.
countryPortionIn
Indicates that a specific part or region is located within the boundaries of a particular country.
-
C.
landAreaShare
chosen
Indicates the proportion of a larger geographic area’s total land area that is accounted for by a specific sub-area or unit.
-
D.
countryWithSmallerShare
Indicates that, between two countries, the first has a smaller proportion or share of a specified quantity (such as population, market, or resource) than the second.
-
E.
seeCountry
Indicates that one entity observes, visits, or becomes aware of a particular 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.