Triple
T8146444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utah Lake |
E190221
|
entity |
| Predicate | isShallowComparedTo |
P80952
|
FINISHED |
| Object | many other large lakes in North America |
—
|
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: many other large lakes in North America | Statement: [Utah Lake, isShallowComparedTo, many other large lakes in North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShallowComparedTo Context triple: [Utah Lake, isShallowComparedTo, many other large lakes in North America]
-
A.
isComparedTo
Indicates that one entity is evaluated or measured in relation to another to highlight similarities, differences, or relative qualities.
-
B.
isDeeperThan
Indicates that one entity has a greater depth or is positioned further down than another entity.
-
C.
isVeryCoarseComparedTo
Indicates that one entity has a much rougher or less fine texture, structure, or granularity than another entity.
-
D.
isPortableComparedTo
Indicates that one entity can be moved, carried, or transported more easily than another entity.
-
E.
isRelatively
Indicates that one entity is being described, measured, or evaluated in relation to another entity or reference point, rather than in absolute terms.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4447dbc48190affb0f34f6c85f5a |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.