Triple
T5839477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorges du Fier |
E129554
|
entity |
| Predicate | hasWalkwayPosition |
P66638
|
FINISHED |
| Object | suspended above the river |
—
|
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: suspended above the river | Statement: [Gorges du Fier, hasWalkwayPosition, suspended above the river]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWalkwayPosition Context triple: [Gorges du Fier, hasWalkwayPosition, suspended above the river]
-
A.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
-
B.
hasEmergencyWalkway
Indicates that there is a designated emergency walkway available or present between the related entities.
-
C.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
D.
hasPedestrianAccessTo
Indicates that a location or area can be reached or entered safely and directly by people on foot.
-
E.
hasAirportWalkway
Indicates that there is a pedestrian walkway connection associated with or leading to an airport.
- 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_69c0084af79c81908af128ccc29983d0 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c0334412388190bc594794ec5754f9 |
completed | March 22, 2026, 6:21 p.m. |
| PDg | Predicate description generation | batch_69c03c8d579081909d7b97fc9014b5d7 |
completed | March 22, 2026, 7:01 p.m. |
Created at: March 22, 2026, 3:54 p.m.