Triple
T6273819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unbound Gravel |
E140602
|
entity |
| Predicate | typicalLongestDistance |
P18065
|
FINISHED |
| Object | approximately 200 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 200 miles | Statement: [Unbound Gravel, typicalLongestDistance, approximately 200 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLongestDistance Context triple: [Unbound Gravel, typicalLongestDistance, approximately 200 miles]
-
A.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
B.
raceDistanceType
Indicates the specific type or category of distance over which a race is conducted.
-
C.
typicalRaceDistanceUnit
Indicates the standard unit of measurement used to express the usual race distance associated with an entity.
-
D.
lengthInKm
Indicates that one entity specifies the length or distance of another entity measured in kilometers.
-
E.
majorRaceDistance
Indicates the standard or primary distance over which a major race or competition is contested.
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063be5a148190a8752426d2d220f8 |
completed | March 22, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69c05606fb50819082d1a5a91e5030b6 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:25 p.m.