Triple
T2982375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Saint-Nazaire |
E80540
|
entity |
| Predicate | hasCyclePath |
P27773
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Pont de Saint-Nazaire, hasCyclePath, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCyclePath Context triple: [Pont de Saint-Nazaire, hasCyclePath, yes]
-
A.
hasCycleAccess
Indicates that an entity is permitted to use or access a bicycle or cycling-related resource.
-
B.
hasCycleStorage
Indicates that a place or facility provides designated storage space for bicycles.
-
C.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
-
D.
includedInCycle
Indicates that an entity participates in and is part of a closed loop or recurring sequence within a system or structure.
-
E.
hasPathway
chosen
Indicates that there exists a route, channel, or sequence of steps through which one entity leads, connects, or gives access to another.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99a1ed44819085ae6d39943db1d9 |
completed | March 8, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69ad9611fc348190a5d17d237f653f60 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:58 p.m.