Triple
T2209026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furious Fifties |
E50869
|
entity |
| Predicate | hasOceanicFeature |
P16223
|
FINISHED |
| Object | large ocean fetch |
—
|
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: large ocean fetch | Statement: [Furious Fifties, hasOceanicFeature, large ocean fetch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOceanicFeature Context triple: [Furious Fifties, hasOceanicFeature, large ocean fetch]
-
A.
hasOcean
Indicates that a geographic region, country, or landmass is bordered by or directly adjacent to a particular ocean.
-
B.
oceanographicFeature
chosen
Indicates that one entity is an oceanographic feature (such as a current, front, eddy, or water mass) associated with or characterizing another entity.
-
C.
hasOceanTrench
Indicates that a body of water contains or is associated with a specific ocean trench within its area.
-
D.
hasOceanCoverage
Indicates that a specified area or region is covered by ocean to a certain extent or proportion.
-
E.
hasNotableSea
Indicates that an entity is associated with or contains a sea that is considered notable or significant.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.