Triple
T3845852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monte Zoncolan |
E93566
|
entity |
| Predicate | cyclingReputation |
P51894
|
FINISHED |
| Object | among the steepest asphalted roads used in pro cycling |
—
|
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: among the steepest asphalted roads used in pro cycling | Statement: [Monte Zoncolan, cyclingReputation, among the steepest asphalted roads used in pro cycling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cyclingReputation Context triple: [Monte Zoncolan, cyclingReputation, among the steepest asphalted roads used in pro cycling]
-
A.
importanceInCycling
Indicates the degree to which something is considered significant, influential, or central within the context of cycling.
-
B.
bicycleUse
Indicates that an entity makes use of a bicycle for transportation, activity, or other purposes.
-
C.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
D.
cycleAuthor
Indicates that an entity is the author or creator responsible for a particular cycle (such as a recurring process, sequence, or version cycle).
-
E.
hasCyclingDistance
Indicates that there is a specified distance associated with traveling between entities by cycling.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb77a488190be7fc2a1211f1f2d |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:18 p.m.