Triple
T11676590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parc national des Cévennes |
E277507
|
entity |
| Predicate | bufferZoneAreaSquareKilometres |
P100736
|
FINISHED |
| Object | over 2300 |
—
|
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: over 2300 | Statement: [Parc national des Cévennes, bufferZoneAreaSquareKilometres, over 2300]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bufferZoneAreaSquareKilometres Context triple: [Parc national des Cévennes, bufferZoneAreaSquareKilometres, over 2300]
-
A.
bufferZoneHectares
Indicates the size of the surrounding buffer zone measured in hectares.
-
B.
areaTotalSquareKilometers
Indicates the total size of something measured in square kilometers.
-
C.
coreZoneArea
Indicates the area or spatial extent of a designated core zone within a larger region or system.
-
D.
areaApproxKm2
Indicates that one entity has an approximate area, measured in square kilometers, given by the other entity.
-
E.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d8938a1f8c81908ffb049fa5fee5a7 |
completed | April 10, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:40 p.m.