Triple
T6024783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sun Link modern streetcar |
E134148
|
entity |
| Predicate | totalRouteLength |
P68820
|
FINISHED |
| Object | 3.9 miles |
—
|
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: 3.9 miles | Statement: [Sun Link modern streetcar, totalRouteLength, 3.9 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalRouteLength Context triple: [Sun Link modern streetcar, totalRouteLength, 3.9 miles]
-
A.
trailSystemLength
Indicates the total measured length of a trail system associated with an entity.
-
B.
roadSystemLength
Indicates the total length or extent of a road network associated with an entity.
-
C.
trailDistanceApprox
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
D.
approximateCircuitLengthMi
Indicates the approximate total length of a circuit, measured in miles.
-
E.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbf048081908b0da0cf838730a5 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:07 p.m.