Triple
T15021268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltstraumen maelstrom |
E378088
|
entity |
| Predicate | whirlpoolDiameter |
P116425
|
FINISHED |
| Object | up to about 10 meters |
—
|
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 meters | Statement: [Saltstraumen maelstrom, whirlpoolDiameter, up to about 10 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whirlpoolDiameter Context triple: [Saltstraumen maelstrom, whirlpoolDiameter, up to about 10 meters]
-
A.
fanDiameter
Indicates the size of a fan measured as the length of a straight line passing through its center from one edge to the opposite edge.
-
B.
shellDiameter
Indicates the diameter measurement of a shell, typically specifying the distance across it at its widest point.
-
C.
dishDiameter
Indicates the measurement of how wide a dish is across its center.
-
D.
hasRoundWindowDiameter
Indicates that an entity possesses a round window whose size is specified by its diameter.
-
E.
throatDiameter
Indicates the width or size of the opening of a passage or tube-like structure, typically where flow is most constricted.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded765462c819097f331c9b39c80e3 |
completed | April 15, 2026, 12:10 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:56 a.m.