Triple
T5378103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina |
E113010
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Río Canovanillas |
E415520
|
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: Río Canovanillas | Statement: [Carolina, hasRiver, Río Canovanillas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Canovanillas Context triple: [Carolina, hasRiver, Río Canovanillas]
-
A.
Río Canovanillas
chosen
Río Canovanillas is a river in the municipality of Carolina in northeastern Puerto Rico, contributing to the region’s local watershed and natural landscape.
-
B.
Río Baluarte
Río Baluarte is a significant river in northwestern Mexico that flows through the state of Sinaloa toward the Pacific coast, contributing to the region’s agriculture and ecology.
-
C.
Cañete River
The Cañete River is a major Peruvian river known for flowing from the high Andes to the Pacific Ocean, supporting agriculture and popular whitewater rafting in the Lima Region.
-
D.
Río Cocal
Río Cocal is a river located in the municipality of Toa Baja on the northern coast of Puerto Rico.
-
E.
Huancané River
The Huancané River is a river in the Andean region of Peru that serves as one of the tributaries feeding Lake Titicaca.
- 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6536fc20c81909b6c57d559880877 |
completed | March 27, 2026, 9:52 a.m. |
Created at: March 20, 2026, 2:03 p.m.