Triple
T23509380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canal Turn |
E572373
|
entity |
| Predicate | courseDirectionChange |
P152646
|
FINISHED |
| Object | approximately 90 degrees left |
—
|
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 90 degrees left | Statement: [Canal Turn, courseDirectionChange, approximately 90 degrees left]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: courseDirectionChange Context triple: [Canal Turn, courseDirectionChange, approximately 90 degrees left]
-
A.
courseDirection
Indicates the orientation or path that something follows or is intended to follow, such as the direction of movement, flow, or progression.
-
B.
courseRenovation
Indicates that a course is undergoing or has undergone changes or improvements to its structure, content, or delivery.
-
C.
courseVariation
Indicates that one course is an alternative or variant version of another course, differing in some aspects such as content, format, or level while remaining related.
-
D.
onCourse
Indicates that one entity is currently enrolled in, participating in, or following a particular course.
-
E.
courseSetting
Indicates the context or environment in which a course is delivered or conducted.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a902c0788190840d7df1b5450b4d |
completed | April 29, 2026, 6:45 a.m. |
| PD | Predicate disambiguation | batch_69f0621165c08190a0b27b1319733959 |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f0bd4a0e408190ad8916faf23562d9 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 17, 2026, 6:07 p.m.