Triple
T12238759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salí River |
E291671
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Río Salí
Río Salí is a river in northwestern Argentina that flows through Tucumán Province and is an important water source for the region’s agriculture and industry.
|
E1148369
|
NE FINISHED |
How this triple was built (4 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 Salí | Statement: [Salí River, alsoKnownAs, Río Salí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Salí Context triple: [Salí River, alsoKnownAs, Río Salí]
-
A.
Río Mostazal
Río Mostazal is a river located in Chile’s Coquimbo Region, known locally by its Spanish name.
-
B.
Boquerón River
The Boquerón River is a waterway in Panama that serves as one of the tributaries feeding the larger Chagres River system.
-
C.
Río Cagüitas
Río Cagüitas is a river in Puerto Rico that forms part of the island’s northeastern drainage system.
-
D.
Sinú River
The Sinú River is a major river in northern Colombia that flows through the Caribbean lowlands before emptying into the Caribbean Sea.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Río Salí Triple: [Salí River, alsoKnownAs, Río Salí]
Generated description
Río Salí is a river in northwestern Argentina that flows through Tucumán Province and is an important water source for the region’s agriculture and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Río Salí Target entity description: Río Salí is a river in northwestern Argentina that flows through Tucumán Province and is an important water source for the region’s agriculture and industry.
-
A.
Río Mostazal
Río Mostazal is a river located in Chile’s Coquimbo Region, known locally by its Spanish name.
-
B.
Boquerón River
The Boquerón River is a waterway in Panama that serves as one of the tributaries feeding the larger Chagres River system.
-
C.
Río Cagüitas
Río Cagüitas is a river in Puerto Rico that forms part of the island’s northeastern drainage system.
-
D.
Sinú River
The Sinú River is a major river in northern Colombia that flows through the Caribbean lowlands before emptying into the Caribbean Sea.
-
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. chosen
Provenance (5 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb45340819093365f8efdf85f75 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef5a0824819097e41163e3092b68 |
completed | May 9, 2026, 8:24 a.m. |
| NEDg | Description generation | batch_69fef17e1b8481908600e8f2f60ebe98 |
completed | May 9, 2026, 8:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1e8e41481908f2c8ebe1b1036fa |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:51 p.m.