Triple
T28851277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annapurna Conservation Area |
E728601
|
entity |
| Predicate | largestProtectedAreaIn |
P166508
|
FINISHED |
| Object | Nepal |
—
|
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: Nepal | Statement: [Annapurna Conservation Area, largestProtectedAreaIn, Nepal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestProtectedAreaIn Context triple: [Annapurna Conservation Area, largestProtectedAreaIn, Nepal]
-
A.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
B.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
C.
modernProtectedArea
Indicates that an area is designated and managed as a contemporary legally recognized protected area under modern conservation frameworks.
-
D.
largestNationalPark
Indicates that the subject is the largest national park within the specified country or region.
-
E.
areaProtected
Indicates that a specified geographic area is designated and managed as protected, typically restricting certain activities to conserve its natural or cultural resources.
- 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_69f0319f4e5481909e4c439dbe8be940 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 6:44 a.m.