Triple
T4680382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millau Viaduct |
E103783
|
entity |
| Predicate | deckHeightAboveValley |
P58980
|
FINISHED |
| Object | about 270 m |
—
|
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: about 270 m | Statement: [Millau Viaduct, deckHeightAboveValley, about 270 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: deckHeightAboveValley Context triple: [Millau Viaduct, deckHeightAboveValley, about 270 m]
-
A.
damHeight
Indicates the vertical height of a dam structure, typically measured from its base or foundation to its crest.
-
B.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
C.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
D.
elevationApproxMeters
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
E.
areaPeak
Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6217e0088190836570522e324dc6 |
completed | March 20, 2026, 3:04 p.m. |
| PDg | Predicate description generation | batch_69bd67c895dc8190ba648002ff54424b |
completed | March 20, 2026, 3:29 p.m. |
Created at: March 20, 2026, 1:16 p.m.