Triple
T11916393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mossley railway viaduct |
E283533
|
entity |
| Predicate | hasElevationRelativeToTown |
P38218
|
FINISHED |
| Object | high above town level |
—
|
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: high above town level | Statement: [Mossley railway viaduct, hasElevationRelativeToTown, high above town level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElevationRelativeToTown Context triple: [Mossley railway viaduct, hasElevationRelativeToTown, high above town level]
-
A.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
-
B.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
C.
hasElevationFeature
Indicates that one entity possesses or is characterized by a particular elevation-related feature or attribute, such as height, altitude, or vertical relief.
-
D.
elevationFrom
chosen
Indicates a vertical distance relationship where one entity’s height or altitude is measured relative to another reference entity.
-
E.
relativeHeightAboveCity
Indicates the vertical height of an entity measured above the reference elevation level of a specified city.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8deb14881909b65a1f159aec65f |
completed | April 10, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3632ac8190b13e53c2b5db7125 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.