Triple
T12117286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maliau Basin Conservation Area |
E288597
|
entity |
| Predicate | designatedAsClassIProtectionForest |
P5067
|
FINISHED |
| Object | 1997 |
—
|
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: 1997 | Statement: [Maliau Basin Conservation Area, designatedAsClassIProtectionForest, 1997]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designatedAsClassIProtectionForest Context triple: [Maliau Basin Conservation Area, designatedAsClassIProtectionForest, 1997]
-
A.
isForested
Indicates that an area or region is covered predominantly by forest or dense tree vegetation.
-
B.
partOfProtectedAreaCategory
chosen
Indicates that one protected area belongs to, or is classified under, a specific protected area category.
-
C.
hasForestType
Indicates that an area or location is characterized by a specific type or classification of forest.
-
D.
notableForestAreas
Indicates that there exists a forested region associated with the subject that is recognized as significant or noteworthy in some context.
-
E.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.