Triple
T33712533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aumale |
E863779
|
entity |
| Predicate | distanceFromRouen |
P92618
|
FINISHED |
| Object | approximately 60 km northwest |
—
|
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 60 km northwest | Statement: [Aumale, distanceFromRouen, approximately 60 km northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromRouen Context triple: [Aumale, distanceFromRouen, approximately 60 km northwest]
-
A.
distanceToRouen
chosen
Indicates the spatial distance between a given entity and the location of Rouen.
-
B.
distanceToLeHavre
Indicates the spatial distance between a given entity and the location of Le Havre.
-
C.
distanceFromCalais
Indicates the measured distance separating a given place or object from the location of Calais.
-
D.
distanceFromAmiens
Indicates the spatial distance between a given entity and the location Amiens.
-
E.
distanceToToulon_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Toulon.
- 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_69f3498844608190bb8f9b14908d2510 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:43 a.m.