Triple
T15067921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Clarillo National Park |
E379801
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Río Clarillo |
—
|
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: Río Clarillo | Statement: [Río Clarillo National Park, namedAfter, Río Clarillo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Clarillo Context triple: [Río Clarillo National Park, namedAfter, Río Clarillo]
-
A.
Río Clarillo
chosen
Río Clarillo is a river in central Chile known for flowing through the protected Río Clarillo National Park, an important natural area near Santiago.
-
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.
Río Chiquito
Río Chiquito is a river that serves as one of the tributaries feeding into Nicaragua’s Lake Xolotlán (Lake Managua).
-
D.
Río Lato
Río Lato is a river in Colombia associated with the municipality of Piedecuesta in the Santander Department.
-
E.
Río Bucaná
Río Bucaná is a river in the municipality of Ponce, Puerto Rico, that flows through the city toward the Caribbean Sea and has historically influenced its development and landscape.
- 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedeebc7e48190a86b4f0afe8844bb |
completed | April 15, 2026, 12:42 a.m. |
Created at: April 10, 2026, 3:02 a.m.