Triple
T22380870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château de Beaucaire |
E553268
|
entity |
| Predicate | elevationAboveRhône |
P221
|
FINISHED |
| Object | hilltop |
—
|
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: hilltop | Statement: [Château de Beaucaire, elevationAboveRhône, hilltop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationAboveRhône Context triple: [Château de Beaucaire, elevationAboveRhône, hilltop]
-
A.
elevationRelativeToParis
Indicates the relative elevation difference between a given location and Paris, specifying how much higher or lower it is in altitude.
-
B.
elevationAboveLake
Indicates the vertical height or altitude of something relative to the surface level of a specified lake.
-
C.
elevationAboveValley
Indicates the vertical height or altitude of an entity measured relative to the lowest point of the surrounding valley.
-
D.
elevation
chosen
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
E.
countryAltitudeCharacteristic
Indicates a characteristic relationship specifying the typical or notable altitude or elevation associated with a country.
- 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_69e11e4c03248190a26a5060ea6973ee |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582c05fc8190836ae008426177a5 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.