Triple
T6104136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Saône |
E136074
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Doubs |
E567843
|
NE 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: Doubs | Statement: [Haute-Saône, borders, Doubs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doubs Context triple: [Haute-Saône, borders, Doubs]
-
A.
Doubs
chosen
Doubs is a department in the Bourgogne-Franche-Comté region of eastern France, known for its Jura mountains, rivers, and proximity to the Swiss border.
-
B.
Doubs River
The Doubs River is a major river in eastern France and western Switzerland, known for its winding course through the Jura Mountains and its scenic gorges, waterfalls, and hydroelectric dams.
-
C.
Rhône
Rhône is a department in eastern France named after the Rhône River, known for its capital city Lyon and its significant role in the country's economic and cultural life.
-
D.
Isère River
The Isère River is a significant waterway in southeastern France that flows through the Alps and the city of Grenoble before joining the Rhône.
-
E.
La Doua
La Doua is a major university and research campus area in the Lyon metropolitan region, known for hosting several science and engineering institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3f8e5481909e85a60aaf319f66 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7a4eddc81908148e3428c69d654 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 22, 2026, 4:13 p.m.