Triple
T15180738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carros |
E362735
|
entity |
| Predicate | locatedOnRiver |
P165
|
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: [Carros, locatedOnRiver, Var River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Var River Context triple: [Carros, locatedOnRiver, 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.
Von River
The Von River is a waterway in New Zealand’s South Island that feeds into Lake Wakatipu, flowing through a remote, mountainous landscape popular for high-country farming and outdoor recreation.
-
D.
Sym River
The Sym River is a significant waterway in central Siberia that flows through the Krasnoyarsk Krai region of Russia.
-
E.
Veral River
The Veral River is a mountain river in northeastern Spain that flows through the Pyrenees in the region of Aragón.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00664caac81909bee1268264769f8 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:09 a.m.