Triple
T17284341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casma |
E419611
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Casma 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: Casma River | Statement: [Casma, river, Casma River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casma River Context triple: [Casma, river, Casma River]
-
A.
Casma River
chosen
The Casma River is a coastal river in north-central Peru that supported ancient civilizations and agriculture in the arid Casma–Sechin valley before flowing into the Pacific Ocean.
-
B.
Huancané River
The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
-
C.
Gualí River
The Gualí River is a waterway in central Colombia that flows through the municipality of Mariquita in the Tolima Department.
-
D.
Guareña River
The Guareña River is a tributary watercourse in western Spain that feeds into the larger Douro River system.
-
E.
Tarqui River
The Tarqui River is a waterway in southern Ecuador that flows through the city of Cuenca and contributes to its Andean watershed.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e4332bd324819080795152293d6d43 |
completed | April 19, 2026, 1:43 a.m. |
Created at: April 10, 2026, 5:40 a.m.