Triple
T24834011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballona Creek |
E621417
|
entity |
| Predicate | bikePathLength |
P63487
|
FINISHED |
| Object | approximately 7 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: approximately 7 miles | Statement: [Ballona Creek, bikePathLength, approximately 7 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bikePathLength Context triple: [Ballona Creek, bikePathLength, approximately 7 miles]
-
A.
trailDistanceApprox
chosen
Indicates that the distance along a trail between two locations is approximately a specified value, allowing for some margin of error.
-
B.
pathLength
Indicates the measured distance or length of a path connecting two points or locations.
-
C.
totalRouteLength
Indicates the overall distance or length of an entire route when all its segments are combined.
-
D.
hasCyclingDistance
Indicates that there is a specified distance associated with traveling between entities by cycling.
-
E.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
- 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_69e2fac185d48190a0a6073ad1f6b792 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:17 a.m.