Triple
T10643670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Beckett Bridge |
E250784
|
entity |
| Predicate | rotationAngle |
P49681
|
FINISHED |
| Object | 90 degrees |
—
|
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: 90 degrees | Statement: [Samuel Beckett Bridge, rotationAngle, 90 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rotationAngle Context triple: [Samuel Beckett Bridge, rotationAngle, 90 degrees]
-
A.
rotationAxis
Indicates the axis around which an object or system rotates or is intended to rotate.
-
B.
rotationPractice
Indicates that an entity engages in or is involved with practicing rotational movements or rotation-related skills.
-
C.
offAxisAngle
chosen
Indicates the angle by which something is rotated or deviates from a defined primary or reference axis.
-
D.
rotationType
Indicates the specific kind or mode of rotational movement or orientation applied in a given context.
-
E.
rotationSense
Indicates the direction or orientation in which an object or system rotates relative to a defined reference frame.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69d6dd83b114819098e84dc658e82d7e |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 9:05 p.m.