Triple
T33931809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RS 1 Colin Archer |
E869915
|
entity |
| Predicate | beamToLengthRatio |
P141689
|
FINISHED |
| Object | approximately 1:3 |
—
|
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: approximately 1:3 | Statement: [RS 1 Colin Archer, beamToLengthRatio, approximately 1:3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beamToLengthRatio Context triple: [RS 1 Colin Archer, beamToLengthRatio, approximately 1:3]
-
A.
hasVerticalBeamLength
Indicates that an entity is associated with a vertical beam whose length is specified.
-
B.
sideRatioLength
chosen
Indicates the proportional relationship between the lengths of two or more sides in a geometric figure.
-
C.
radiusRatio
Indicates the proportional relationship between one radius and another, typically expressing how large one is relative to the other.
-
D.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
E.
maximumBoatBeamInMetres
Indicates the maximum width of a boat, measured in metres, that is allowed or applicable in the given context.
- 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_69f3499a59788190bff762a891471b31 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.