Triple
T24689882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naruto Strait |
E611403
|
entity |
| Predicate | oceanSystem |
P156987
|
FINISHED |
| Object | Pacific Ocean |
—
|
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: Pacific Ocean | Statement: [Naruto Strait, oceanSystem, Pacific Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oceanSystem Context triple: [Naruto Strait, oceanSystem, Pacific Ocean]
-
A.
oceanState
Indicates the condition or status of an ocean (such as calmness, turbulence, or other physical characteristics) at a given time or location.
-
B.
oceanicControl
Indicates control, dominance, or authoritative influence exerted over oceanic regions or maritime areas.
-
C.
oceanCirculation
Indicates the movement and flow patterns of seawater within and between oceans, including currents, mixing, and large-scale circulation systems.
-
D.
oceanographicContext
Indicates the environmental or situational oceanographic conditions within which an entity, event, or observation occurs.
-
E.
oceanographicType
Indicates the specific oceanographic classification or category associated with an entity, such as a type of ocean feature, condition, or measurement.
- F. None of above. chosen
Provenance (4 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:20 a.m.