Triple
T7957046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapel River |
E184765
|
entity |
| Predicate | hasDam |
P8736
|
FINISHED |
| Object |
Rapel Dam
Rapel Dam is a major hydroelectric and irrigation dam in central Chile that forms the Rapel Reservoir on the Rapel River.
|
E720076
|
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: Rapel Dam | Statement: [Rapel River, hasDam, Rapel Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapel Dam Context triple: [Rapel River, hasDam, Rapel Dam]
-
A.
Karapiro Dam
Karapiro Dam is a major hydroelectric dam in New Zealand that forms Lake Karapiro and plays a key role in power generation and water management on the Waikato River.
-
B.
Angostura Dam
Angostura Dam is a hydroelectric power facility located on Chile’s Biobío River, contributing to the country’s renewable energy generation.
-
C.
Angostura Dam
Angostura Dam is a major hydroelectric dam in Mexico that forms part of the country’s important Grijalva River power generation system.
-
D.
Pehuenche Dam
Pehuenche Dam is a hydroelectric dam on the upper Bío Bío River in Chile, forming part of a cascade of power-generating reservoirs in the Andean foothills.
-
E.
Salto Grande Dam
Salto Grande Dam is a large hydroelectric dam and binational power station on the Uruguay River, jointly operated by Argentina and Uruguay.
- 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: Rapel Dam Triple: [Rapel River, hasDam, Rapel Dam]
Generated description
Rapel Dam is a major hydroelectric and irrigation dam in central Chile that forms the Rapel Reservoir on the Rapel River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rapel Dam Target entity description: Rapel Dam is a major hydroelectric and irrigation dam in central Chile that forms the Rapel Reservoir on the Rapel River.
-
A.
Karapiro Dam
Karapiro Dam is a major hydroelectric dam in New Zealand that forms Lake Karapiro and plays a key role in power generation and water management on the Waikato River.
-
B.
Angostura Dam
Angostura Dam is a hydroelectric power facility located on Chile’s Biobío River, contributing to the country’s renewable energy generation.
-
C.
Angostura Dam
Angostura Dam is a major hydroelectric dam in Mexico that forms part of the country’s important Grijalva River power generation system.
-
D.
Pehuenche Dam
Pehuenche Dam is a hydroelectric dam on the upper Bío Bío River in Chile, forming part of a cascade of power-generating reservoirs in the Andean foothills.
-
E.
Salto Grande Dam
Salto Grande Dam is a large hydroelectric dam and binational power station on the Uruguay River, jointly operated by Argentina and Uruguay.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd33cf48188190b57ac2fb1dbfa771 |
completed | April 1, 2026, 3:03 p.m. |
| NEDg | Description generation | batch_69cd36ecc1d88190a978f1d51b0e1382 |
completed | April 1, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd4e7822e48190bb573162f224bd8c |
completed | April 1, 2026, 4:57 p.m. |
Created at: March 30, 2026, 5:11 p.m.