Triple
T26820941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Ocean |
E675244
|
entity |
| Predicate | hasMajorMarginalSea |
P77269
|
FINISHED |
| Object | Bering Sea |
—
|
NE NERFINISHED |
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: Bering Sea | Statement: [Pacific Ocean, hasMajorMarginalSea, Bering Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorMarginalSea Context triple: [Pacific Ocean, hasMajorMarginalSea, Bering Sea]
-
A.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
-
B.
hasMajorSeaLane
Indicates that a significant maritime shipping or navigation route passes through, borders, or is closely associated with the referenced entity.
-
C.
hasMajorSeaPort
Indicates that a place possesses at least one significant seaport used for major maritime transport, trade, or shipping activities.
-
D.
hasMaritimeFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a maritime-related feature such as a sea, coast, harbor, or other oceanic element.
-
E.
isPartOfSea
Indicates that one entity is a portion, region, or component contained within a larger sea.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 27, 2026, 4:55 a.m.