Triple
T18456612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French national parks system |
E450916
|
entity |
| Predicate | includesMarineAreas |
P131708
|
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, includesMarineAreas, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesMarineAreas Context triple: [French national parks system, includesMarineAreas, true]
-
A.
marineAreaShare
Indicates the proportion of a larger marine area that is occupied, controlled, or otherwise attributed to a specific entity.
-
B.
hasMarineEcoregion
Indicates that an entity is associated with, or located within, a specific marine ecoregion.
-
C.
hasMarineReserve
Indicates that an entity possesses, includes, or is associated with a designated marine reserve area.
-
D.
hasMarineHabitatType
Indicates that an entity is associated with or occurs in a specific type of marine habitat.
-
E.
marineArea
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
- 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.