Triple
T6493142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Powell |
E148089
|
entity |
| Predicate | surfaceAreaAtFullPool |
P35437
|
FINISHED |
| Object | about 161,000 acres |
—
|
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 161,000 acres | Statement: [Lake Powell, surfaceAreaAtFullPool, about 161,000 acres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceAreaAtFullPool Context triple: [Lake Powell, surfaceAreaAtFullPool, about 161,000 acres]
-
A.
reservoirSurfaceArea
chosen
Indicates the total area covered by the surface of a reservoir.
-
B.
homePool
Indicates that an entity is associated with or belongs to a primary or default pool, typically used as its main or originating pool.
-
C.
surfaceAreaRelative
Indicates the ratio or comparative measure of one entity’s surface area relative to another reference surface area.
-
D.
hasSwimmingPool
Indicates that the subject possesses or includes a swimming pool as one of its features.
-
E.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab6abbc8190a4971ad5a654b0cd |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:53 p.m.