Triple
T23227716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamiers |
E581057
|
entity |
| Predicate | distanceToFoix |
P54846
|
FINISHED |
| Object | approximately 20 km north |
—
|
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: approximately 20 km north | Statement: [Pamiers, distanceToFoix, approximately 20 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToFoix Context triple: [Pamiers, distanceToFoix, approximately 20 km north]
-
A.
distanceFromFoixKilometres
chosen
Indicates the physical distance, measured in kilometers, between a given place or entity and the location of Foix.
-
B.
distanceFromParisCenter
Indicates the measured distance between a given location and the central point of Paris.
-
C.
distanceToFrance
Indicates the spatial distance between a given entity and the country of France.
-
D.
distanceFromLyon
Indicates the spatial distance between a given entity and the city of Lyon.
-
E.
distanceFromParisGareDeLyon
Indicates the distance between an entity and Paris Gare de Lyon railway station.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.