Triple
T7584571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Var department |
E179574
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Var River |
E401919
|
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: Var River | Statement: [Var department, namedAfter, Var River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Var River Context triple: [Var department, namedAfter, Var River]
-
A.
Var River
chosen
The Var River is a major waterway in southeastern France that flows from the Maritime Alps to the Mediterranean Sea near Nice.
-
B.
Or River
The Or River is a waterway in Russia and Kazakhstan that flows through the southern Ural region before joining the Ural River.
-
C.
Sym River
The Sym River is a significant waterway in central Siberia that flows through the Krasnoyarsk Krai region of Russia.
-
D.
Vingeanne River
The Vingeanne River is a watercourse in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône River.
-
E.
Sure river
The Sure river is a Swiss watercourse that drains Lake Sempach and flows through the canton of Lucerne before joining larger river systems.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f993cd0c8190864f801074625a32 |
completed | March 27, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861812e08819097fd14fe2b8fee13 |
completed | March 28, 2026, 11:17 p.m. |
Created at: March 27, 2026, 3:52 p.m.