Triple
T7274408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pine Island Bay |
E162987
|
entity |
| Predicate | oceanWaterType |
P6126
|
FINISHED |
| Object | circumpolar deep water influenced |
—
|
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: circumpolar deep water influenced | Statement: [Pine Island Bay, oceanWaterType, circumpolar deep water influenced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanWaterType Context triple: [Pine Island Bay, oceanWaterType, circumpolar deep water influenced]
-
A.
seaType
Indicates the specific classification or category of a sea associated with an entity.
-
B.
oceanographicType
Indicates the specific oceanographic classification or category associated with an entity, such as a type of ocean feature, condition, or measurement.
-
C.
waterMassType
chosen
Indicates the classification of a body of water according to its physical or compositional type.
-
D.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
E.
oceanBasinType
Indicates the classification of an ocean basin according to its type or geomorphological category.
- 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_69c6885c5964819085b209701769877f |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb8a0b4881908ff27c5a75bd4a95 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76a84a081908d4184c55b728e48 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:58 p.m.