Triple
T22955572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolinas Beach |
E570744
|
entity |
| Predicate | oceanTemperature |
P9307
|
FINISHED |
| Object | cold-water Pacific conditions |
—
|
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: cold-water Pacific conditions | Statement: [Bolinas Beach, oceanTemperature, cold-water Pacific conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanTemperature Context triple: [Bolinas Beach, oceanTemperature, cold-water Pacific conditions]
-
A.
waterTemperatureType
chosen
Indicates the classification or category of a water body’s temperature (e.g., cold, warm, hot) associated with an entity or context.
-
B.
waterTemperatureComparedTo
Indicates how the temperature of one body or sample of water compares to the temperature of another.
-
C.
seaDepth
Indicates the measured vertical distance from the sea surface down to the seafloor at a given location.
-
D.
requiresSeaSurfaceTemperature
Indicates that one entity depends on or needs a specified sea surface temperature condition to occur, function, or be valid.
-
E.
densityAt15C
Indicates the material’s density measured specifically at a temperature of 15 degrees Celsius.
- 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f09de48190b55913570c965412 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:47 p.m.