Triple
T18713642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miramas |
E457579
|
entity |
| Predicate | distanceToArles |
P132391
|
FINISHED |
| Object | approximately 40 kilometres southeast |
—
|
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 40 kilometres southeast | Statement: [Miramas, distanceToArles, approximately 40 kilometres southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToArles Context triple: [Miramas, distanceToArles, approximately 40 kilometres southeast]
-
A.
distanceFromAvignon
Indicates the spatial distance separating a given entity or location from Avignon.
-
B.
distanceToLePuy-en-Velay
Indicates the spatial distance between a given entity and the location of Le Puy-en-Velay.
-
C.
distanceToPontDuGard
Indicates the measured spatial distance between a given entity and the Pont du Gard.
-
D.
distanceFromArta
Indicates the spatial distance measured from the reference location Arta to another entity.
-
E.
distanceFromFoixKilometres
Indicates the physical distance, measured in kilometers, between a given place or entity and the location of Foix.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab352b481909b444e7c476898f4 |
completed | April 19, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.