Triple
T26186573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkland |
E654844
|
entity |
| Predicate | hasConservationAreaDesignationYear |
P78777
|
FINISHED |
| Object | 1970 |
—
|
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: 1970 | Statement: [Falkland, hasConservationAreaDesignationYear, 1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConservationAreaDesignationYear Context triple: [Falkland, hasConservationAreaDesignationYear, 1970]
-
A.
establishedAsConservationArea
Indicates that a location or region has been officially designated and protected as a conservation area.
-
B.
hasScenicDesignationSince
Indicates that an entity has held an official scenic designation continuously since a specified date.
-
C.
federalDesignationYear
Indicates the year in which an entity was officially granted a federal designation or status.
-
D.
wildernessDesignationYear
Indicates the year in which an area was officially designated as wilderness.
-
E.
establishedProtectedAreaYear
chosen
Indicates the year in which a protected area was officially established or designated.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: April 26, 2026, 8:42 p.m.