Triple
T7457046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Chapala |
E172150
|
entity |
| Predicate | hasInflow |
P967
|
FINISHED |
| Object |
Río Duero
Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
|
E665816
|
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 Duero | Statement: [Lake Chapala, hasInflow, Río Duero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Río Duero Context triple: [Lake Chapala, hasInflow, Río Duero]
-
A.
Ribera del Duero
Ribera del Duero is a renowned Spanish wine region famous for its high-quality Tempranillo-based red wines.
-
B.
Manzanares River
The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
-
C.
Manzanares River
The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
-
D.
Manzanares
Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
-
E.
Río Tajo
Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
- 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 Duero Triple: [Lake Chapala, hasInflow, Río Duero]
Generated description
Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Río Duero Target entity description: Río Duero is a river in western Mexico that serves as one of the main tributaries feeding Lake Chapala, the country’s largest freshwater lake.
-
A.
Ribera del Duero
Ribera del Duero is a renowned Spanish wine region famous for its high-quality Tempranillo-based red wines.
-
B.
Manzanares River
The Manzanares River is a coastal river in northeastern Venezuela that flows through the city of Cumaná before emptying into the Caribbean Sea.
-
C.
Manzanares River
The Manzanares River is a modest river in central Spain that flows through the city of Madrid and has historically shaped its landscape and development.
-
D.
Manzanares
Manzanares is a small Colombian town and municipality located in the mountainous Caldas Department in the Andean region.
-
E.
Río Tajo
Río Tajo is the longest river in the Iberian Peninsula, flowing from eastern Spain across the country into Portugal before emptying into the Atlantic Ocean near Lisbon.
- 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_69c68a66554c8190add75c65942c0317 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f3b0780881909e645160dd49eb57 |
completed | March 27, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827c73ce081909e31e272c8a752b6 |
completed | March 28, 2026, 7:11 p.m. |
| NEDg | Description generation | batch_69c82bd3fe8c819098afb0d51e69383b |
completed | March 28, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82c2437d08190a1b4cf44cd51df03 |
completed | March 28, 2026, 7:29 p.m. |
Created at: March 27, 2026, 3:15 p.m.