Triple
T24689874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naruto Strait |
E611403
|
entity |
| Predicate | maximumCurrentSpeed |
P157678
|
FINISHED |
| Object | up to about 10 knots |
—
|
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: up to about 10 knots | Statement: [Naruto Strait, maximumCurrentSpeed, up to about 10 knots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumCurrentSpeed Context triple: [Naruto Strait, maximumCurrentSpeed, up to about 10 knots]
-
A.
maximumCurrentSpeed
chosen
Indicates the highest current speed value that an entity is allowed or able to reach under present conditions.
-
B.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
C.
currentSpeed
Indicates the present rate at which an entity is moving over time.
-
D.
maxCurrent
Indicates the maximum electric current that is allowed to flow through or be drawn by an entity under specified conditions.
-
E.
maximumWaterSpeed
Indicates the highest speed an entity can move through water under specified conditions.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:20 a.m.