Triple
T13843684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Río Mayo |
E332733
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Río Mayo (Spanish) |
E332733
|
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 Mayo (Spanish) | Statement: [Río Mayo, hasNameInLanguage, Río Mayo (Spanish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Mayo (Spanish) Context triple: [Río Mayo, hasNameInLanguage, Río Mayo (Spanish)]
-
A.
Río Mayo
chosen
Río Mayo is a river in northwestern Mexico that flows through the state of Sonora before emptying into the Gulf of California.
-
B.
Río Mostazal
Río Mostazal is a river located in Chile’s Coquimbo Region, known locally by its Spanish name.
-
C.
Río Consulado
Río Consulado is an urban river in Mexico City that runs through boroughs such as Azcapotzalco and has been heavily modified and canalized as part of the city’s drainage system.
-
D.
Bermejo River
The Bermejo River is a major South American waterway flowing through Bolivia and Argentina before joining the Paraguay River and ultimately contributing to the Río de la Plata basin.
-
E.
Río Torres
Río Torres is an urban river in the San José metropolitan area of Costa Rica, known for flowing through densely populated neighborhoods and facing significant pollution and environmental management challenges.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f87c188190b90faf7678cb9ad4 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.