Triple
T19697536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passerelle Léopold-Sédar-Senghor |
E472998
|
entity |
| Predicate | isScenicWalkway |
P136965
|
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: [Passerelle Léopold-Sédar-Senghor, isScenicWalkway, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isScenicWalkway Context triple: [Passerelle Léopold-Sédar-Senghor, isScenicWalkway, true]
-
A.
isScenicByway
Indicates that a roadway is officially designated as a scenic byway, recognized for its notable visual, cultural, or natural appeal along its route.
-
B.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
C.
isOnGreatWalk
Indicates that one location or path lies along or is part of a designated “Great Walk” route.
-
D.
isPartOfScenicVista
Indicates that something is included within, or contributes to, a larger scenic vista or panoramic view.
-
E.
isScenicArea
Indicates that a location is recognized as a scenic area, typically valued for its natural beauty or visually appealing surroundings.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b2baec81909ee2cd6ead632836 |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e53039ea808190a9106a53f564ab92 |
completed | April 19, 2026, 7:42 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:46 p.m.