Triple
T21344252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamelecón River |
E526286
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Río Chamelecón |
—
|
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 Chamelecón | Statement: [Chamelecón River, hasNameInLanguage, Río Chamelecón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Chamelecón Context triple: [Chamelecón River, hasNameInLanguage, Río Chamelecón]
-
A.
Río Chalma
Río Chalma is a river in central Mexico that flows through the municipality of Puente de Ixtla in the state of Morelos.
-
B.
Lerma River
The Lerma River is one of central Mexico’s most important rivers, serving as a major water source for agriculture, industry, and urban areas across several states.
-
C.
Río Sextín
Río Sextín is a tributary river in northern Mexico that feeds into the Río Nazas within the arid region of Durango and Coahuila.
-
D.
Río Lozoya
Río Lozoya is a river in central Spain that flows through the Sierra de Guadarrama and supplies much of the drinking water for the Madrid region.
-
E.
Chamelecón River
chosen
The Chamelecón River is a major river in northwestern Honduras that flows through the Sula Valley and near the city of San Pedro Sula, often associated with severe flooding in the region.
- 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a85274f481909e699b390bed9350 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.