Triple
T8772909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unorganized Borough, Alaska |
E208506
|
entity |
| Predicate | coversPercentageOfAlaska |
P85313
|
FINISHED |
| Object | about 49 percent |
—
|
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: about 49 percent | Statement: [Unorganized Borough, Alaska, coversPercentageOfAlaska, about 49 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coversPercentageOfAlaska Context triple: [Unorganized Borough, Alaska, coversPercentageOfAlaska, about 49 percent]
-
A.
coversPercentageOfIsland
Indicates the proportion of an island’s total area that is occupied or covered by a specified entity.
-
B.
populationRankInRuralAlaska
Indicates the relative position of an entity in terms of population size compared to other entities located in rural Alaska.
-
C.
percentageOfLandInNationalPark
Indicates the proportion of a given area’s total land that lies within designated national park boundaries.
-
D.
distanceToAlaskaApproxKm
Indicates the approximate distance, measured in kilometers, between a given entity’s location and the state of Alaska.
-
E.
northernmostState
Indicates that one state is located farther north than any other state within a given set or region.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
| PDg | Predicate description generation | batch_69cc5cfddef48190aee764ee7b25bae9 |
completed | March 31, 2026, 11:47 p.m. |
Created at: March 30, 2026, 6:41 p.m.