Triple
T27231879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de la Madeleine |
E682174
|
entity |
| Predicate | averageGradientFromLaChambre |
P165072
|
FINISHED |
| Object | about 8 percent |
—
|
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 8 percent | Statement: [Col de la Madeleine, averageGradientFromLaChambre, about 8 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageGradientFromLaChambre Context triple: [Col de la Madeleine, averageGradientFromLaChambre, about 8 percent]
-
A.
chamber1
Indicates that an entity is a chamber or room, typically serving as an enclosed space within a larger structure.
-
B.
La Cotinière
Indicates a locational or associative relationship involving the place named "La Cotinière," such as being situated in, originating from, or otherwise connected to that locality.
-
C.
laterChamber
Indicates that one chamber occurs or is situated at a later point in a sequence or process relative to another chamber.
-
D.
parallelChamber
Indicates that one chamber is arranged alongside and in the same directional orientation as another chamber, running parallel to it.
-
E.
chamber2
Indicates that one entity serves as a secondary or inner chamber, room, or compartment associated with another entity.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 9:46 a.m.