Triple
T8641618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zegelsem |
E204663
|
entity |
| Predicate | hasCyclingFeature |
P63555
|
FINISHED |
| Object | cobblestone climbs |
—
|
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: cobblestone climbs | Statement: [Zegelsem, hasCyclingFeature, cobblestone climbs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclingFeature Context triple: [Zegelsem, hasCyclingFeature, cobblestone climbs]
-
A.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
B.
hasBicycleFacilities
Indicates that appropriate bicycle-related infrastructure or amenities are available at or associated with the subject.
-
C.
hasCyclingDistance
Indicates that there is a specified distance associated with traveling between entities by cycling.
-
D.
bicycleType
Indicates the specific kind or category of bicycle associated with an entity.
-
E.
rideFeature
chosen
Indicates that one entity is a feature, characteristic, or component associated with a particular ride.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4795b07081908bfc9ebf35a50f07 |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.