Triple
T21369075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meerbeke |
E527002
|
entity |
| Predicate | hasCyclingHeritage |
P144006
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Meerbeke, hasCyclingHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclingHeritage Context triple: [Meerbeke, hasCyclingHeritage, true]
-
A.
cyclingVenue
Indicates a location or facility where cycling activities, such as training, racing, or recreational riding, take place.
-
B.
hasBicycleFacilities
Indicates that appropriate bicycle-related infrastructure or amenities are available at or associated with the subject.
-
C.
hasRideCycle
Indicates that one entity is associated with, or participates in, a recurring sequence or cycle of rides or ride operations.
-
D.
hasHeritage
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
E.
cyclingCategory
Indicates the classification or type of cycling activity or discipline associated with an entity.
- 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_69e0b51e80808190ba5cb05667af02a9 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0ad04e081908ff02b2ee2bc7485 |
completed | April 22, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e61b3e47f881908fb2aac9bd2bfb58 |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 16, 2026, 5:09 p.m.