Triple
T36568475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuntut Gwitchin First Nation |
E902044
|
entity |
| Predicate | settlementLandArea |
P185871
|
FINISHED |
| Object | Yukon settlement lands |
—
|
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: Yukon settlement lands | Statement: [Vuntut Gwitchin First Nation, settlementLandArea, Yukon settlement lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementLandArea Context triple: [Vuntut Gwitchin First Nation, settlementLandArea, Yukon settlement lands]
-
A.
landArea
Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
-
B.
grantedLandArea
Indicates that a specific area of land has been formally allocated or given by one party to another.
-
C.
areaTotalSquareKilometers
Indicates the total size of something measured in square kilometers.
-
D.
acquiredLandArea
Indicates the total area of land that has been obtained or taken possession of through an acquisition.
-
E.
hasLandAreaSquareKilometers
Indicates that an entity possesses a land area measured in square kilometers.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.