Triple
T19406523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lanín National Park |
E485476
|
entity |
| Predicate | hasLake |
P1025
|
FINISHED |
| Object |
Lake Lolog
Lake Lolog is a scenic glacial lake in Argentina’s Patagonian Andes, known for its clear waters, surrounding forests, and outdoor recreation opportunities.
|
E1388464
|
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: Lake Lolog | Statement: [Lanín National Park, hasLake, Lake Lolog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lolog Context triple: [Lanín National Park, hasLake, Lake Lolog]
-
A.
Lake Lukoml
Lake Lukoml is a large freshwater lake in Belarus known for its proximity to the Lukoml power station and its role in regional recreation and ecology.
-
B.
Matemale Lake
Matemale Lake is a large artificial reservoir in the Capcir region of the French Pyrenees, popular for outdoor recreation such as hiking, sailing, and fishing.
-
C.
Lake Atiamuri
Lake Atiamuri is a hydroelectric reservoir on the Waikato River in New Zealand, formed by the Atiamuri Power Station dam.
-
D.
Lake Mafu
Lake Mafu is a small desert lake in the Ubari Sand Sea of southwestern Libya, known for its picturesque setting amid Saharan sand dunes.
-
E.
Benoni Lake
Benoni Lake is a man-made recreational lake in Benoni, South Africa, known for boating, fishing, and surrounding parkland.
- 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: Lake Lolog Triple: [Lanín National Park, hasLake, Lake Lolog]
Generated description
Lake Lolog is a scenic glacial lake in Argentina’s Patagonian Andes, known for its clear waters, surrounding forests, and outdoor recreation opportunities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lake Lolog Target entity description: Lake Lolog is a scenic glacial lake in Argentina’s Patagonian Andes, known for its clear waters, surrounding forests, and outdoor recreation opportunities.
-
A.
Lake Lukoml
Lake Lukoml is a large freshwater lake in Belarus known for its proximity to the Lukoml power station and its role in regional recreation and ecology.
-
B.
Matemale Lake
Matemale Lake is a large artificial reservoir in the Capcir region of the French Pyrenees, popular for outdoor recreation such as hiking, sailing, and fishing.
-
C.
Lake Atiamuri
Lake Atiamuri is a hydroelectric reservoir on the Waikato River in New Zealand, formed by the Atiamuri Power Station dam.
-
D.
Lake Mafu
Lake Mafu is a small desert lake in the Ubari Sand Sea of southwestern Libya, known for its picturesque setting amid Saharan sand dunes.
-
E.
Benoni Lake
Benoni Lake is a man-made recreational lake in Benoni, South Africa, known for boating, fishing, and surrounding parkland.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6257af68881908147beedc29ff64c |
completed | April 20, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a077ecff70881908bf689e600bcb2fe |
completed | May 15, 2026, 8:15 p.m. |
| NEDg | Description generation | batch_6a077fcef0288190a6c82be17c29a4ae |
completed | May 15, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0780a281248190a1056b682f0aa952 |
completed | May 15, 2026, 8:22 p.m. |
Created at: April 10, 2026, 1:36 p.m.