Triple
T2766780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlantic Ocean proper by Martha's Vineyard |
E61357
|
entity |
| Predicate | hasTypicalSeaSurfaceTemperatureRange |
P19296
|
FINISHED |
| Object | approximately 5–22 °C |
—
|
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: approximately 5–22 °C | Statement: [Atlantic Ocean proper by Martha's Vineyard, hasTypicalSeaSurfaceTemperatureRange, approximately 5–22 °C]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalSeaSurfaceTemperatureRange Context triple: [Atlantic Ocean proper by Martha's Vineyard, hasTypicalSeaSurfaceTemperatureRange, approximately 5–22 °C]
-
A.
typicalTemperature
chosen
Indicates the usual or characteristic temperature associated with an entity under normal conditions.
-
B.
hasSeaCondition
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
C.
hasTypicalSeaIceType
Indicates the characteristic or commonly occurring type of sea ice associated with a given location or context.
-
D.
hasTemperature
Indicates that an entity possesses or is characterized by a specific temperature value.
-
E.
hasTidalRange
Indicates the relationship between a location or body of water and the magnitude of difference between its high and low tide levels.
- 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_69ab4b7bab6c8190a5c2efef19a8ef34 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfc5e1c8190a5ac2c48d3eaeb0a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.