Triple
T37026682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Canal of Catalonia |
E916373
|
entity |
| Predicate | laneWidth |
P186921
|
FINISHED |
| Object | 13.5 metres |
—
|
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: 13.5 metres | Statement: [Olympic Canal of Catalonia, laneWidth, 13.5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laneWidth Context triple: [Olympic Canal of Catalonia, laneWidth, 13.5 metres]
-
A.
roadWidth
Indicates the measured breadth or distance across a road, typically from one edge or curb to the opposite edge or curb.
-
B.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
C.
laneLength
Indicates the length or distance of a lane in a given context.
-
D.
hasRoadWidth
Indicates the width measurement of a road segment or roadway in the relationship.
-
E.
trackWidthVariability
Indicates how much the width of a track or pathway varies along its length or across different instances.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fb154b5f8c819089103b41f51a1639 |
completed | May 6, 2026, 10:17 a.m. |
Created at: May 3, 2026, 4:14 p.m.