Triple
T18456611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French national parks system |
E450916
|
entity |
| Predicate | includesOverseasParks |
P131707
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [French national parks system, includesOverseasParks, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOverseasParks Context triple: [French national parks system, includesOverseasParks, true]
-
A.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
-
B.
hasParks
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
C.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
D.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
E.
withinNationalPark
Indicates that one entity is located inside the geographic boundaries of a national park designated by another entity.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264ce5948190b57baa2ea71297a9 |
completed | April 19, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.