Triple
T6623574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuquén River |
E149737
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
El Chañar Dam
El Chañar Dam is a hydroelectric and irrigation dam located on the Neuquén River in Argentina’s Neuquén Province.
|
E608522
|
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: El Chañar Dam | Statement: [Neuquén River, hasDam, El Chañar Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Chañar Dam Context triple: [Neuquén River, hasDam, El Chañar Dam]
-
A.
Arroyito Dam
Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
-
B.
El Quimbo Dam
El Quimbo Dam is a large hydroelectric dam on the Magdalena River in Colombia, built to generate power and support the country’s energy supply.
-
C.
Piedra del Águila Dam
Piedra del Águila Dam is a major hydroelectric dam in Argentine Patagonia, known for its large power-generating capacity and role in regulating the Limay River.
-
D.
San Roque Dam
San Roque Dam is one of the largest dams in the Philippines, serving as a major source of hydroelectric power, irrigation, and flood control in the Luzon region.
-
E.
Angostura Dam
Angostura Dam is a hydroelectric power facility located on Chile’s Biobío River, contributing to the country’s renewable energy generation.
- 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: El Chañar Dam Triple: [Neuquén River, hasDam, El Chañar Dam]
Generated description
El Chañar Dam is a hydroelectric and irrigation dam located on the Neuquén River in Argentina’s Neuquén Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: El Chañar Dam Target entity description: El Chañar Dam is a hydroelectric and irrigation dam located on the Neuquén River in Argentina’s Neuquén Province.
-
A.
Arroyito Dam
Arroyito Dam is a hydroelectric and flood-control dam located on Argentina’s Limay River in the Patagonia region.
-
B.
El Quimbo Dam
El Quimbo Dam is a large hydroelectric dam on the Magdalena River in Colombia, built to generate power and support the country’s energy supply.
-
C.
Piedra del Águila Dam
Piedra del Águila Dam is a major hydroelectric dam in Argentine Patagonia, known for its large power-generating capacity and role in regulating the Limay River.
-
D.
San Roque Dam
San Roque Dam is one of the largest dams in the Philippines, serving as a major source of hydroelectric power, irrigation, and flood control in the Luzon region.
-
E.
Angostura Dam
Angostura Dam is a hydroelectric power facility located on Chile’s Biobío River, contributing to the country’s renewable energy generation.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7decb08190a7b1ddb95e534a6a |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eee8740881908b4fafb12db6b7f3 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f09ffdd481909418ae33d1683486 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f159cbf08190a22d7488584b4580 |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 1:58 p.m.