Triple
T35708189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondu |
E1031773
|
entity |
| Predicate | hasNatureConservationArea |
P46488
|
FINISHED |
| Object | Parc Slip Nature Reserve |
—
|
NE NERFINISHED |
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: Parc Slip Nature Reserve | Statement: [Tondu, hasNatureConservationArea, Parc Slip Nature Reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNatureConservationArea Context triple: [Tondu, hasNatureConservationArea, Parc Slip Nature Reserve]
-
A.
containsNatureArea
Indicates that one entity spatially includes or encompasses a designated natural area within its boundaries.
-
B.
hasNationalScenicArea
Indicates that an entity is designated as or associated with a National Scenic Area.
-
C.
containsNatureReserve
chosen
Indicates that one entity geographically includes or encompasses a designated nature reserve within its boundaries.
-
D.
hasConservationLand
Indicates that an entity possesses, manages, or is associated with land designated for environmental or natural resource conservation.
-
E.
hasNearbyNatureReserve
Indicates that one place or entity is located close to a designated nature reserve.
- 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_69f76e0d393c8190b6303c64408736db |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff56ef0a5c8190ae729d66a8cf7fc4 |
completed | May 9, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ff539859c481909ec56310da418688 |
completed | May 9, 2026, 3:32 p.m. |
Created at: May 3, 2026, 4:05 p.m.