Triple
T12918301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zihl basin |
E309046
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Zihl River |
—
|
NE NERFINISHED |
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: Zihl River | Statement: [Zihl basin, namedAfter, Zihl River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zihl River Context triple: [Zihl basin, namedAfter, Zihl River]
-
A.
Zihl River
chosen
The Zihl River is a watercourse in western Switzerland that drains Lake Morat into Lake Neuchâtel and forms part of the Aare river system.
-
B.
Ziese River
The Ziese River is a small river in northeastern Germany that drains into the Szczecin Lagoon along the Baltic Sea coast.
-
C.
Vizezy River
The Vizezy River is a small watercourse in central France that flows through the town of Montbrison in the Loire department.
-
D.
Wiar River
The Wiar River is a minor river in southeastern Poland and western Ukraine that flows through the Carpathian foothills before joining the San River.
-
E.
Tsoelike River
The Tsoelike River is a tributary watercourse in Lesotho that feeds into the larger Senqu (Orange) River system in southern Africa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e6d9fc8190b8a5244b26b5f78a |
completed | April 10, 2026, 9:55 p.m. |
Created at: April 9, 2026, 5:41 p.m.