Triple
T28093662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte des Bar |
E710025
|
entity |
| Predicate | distanceFromReims |
P54998
|
FINISHED |
| Object | approximately 150 kilometers south |
—
|
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 150 kilometers south | Statement: [Côte des Bar, distanceFromReims, approximately 150 kilometers south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromReims Context triple: [Côte des Bar, distanceFromReims, approximately 150 kilometers south]
-
A.
distanceToReims
chosen
Indicates the spatial distance between a given entity and the location of Reims.
-
B.
distanceFromOrléans
Indicates the spatial distance between a given location and the city of Orléans.
-
C.
distanceToAmiens
Indicates the spatial distance between a given entity’s location and the city of Amiens.
-
D.
distanceFromAmiens
Indicates the spatial distance between a given entity and the location Amiens.
-
E.
distanceToRouen
Indicates the spatial distance between a given entity and the location of Rouen.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffb82be8148190a1c870d467a28c80 |
completed | May 9, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69ffb7bbd550819094052e9a0d0ae320 |
completed | May 9, 2026, 10:39 p.m. |
Created at: April 27, 2026, 9 p.m.