Triple
T20631598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lácar Department |
E506967
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Lake Lolog |
—
|
NE NERFINISHED |
How this triple was built (2 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: [Lácar Department, hasBodyOfWater, Lake Lolog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Lolog Context triple: [Lácar Department, hasBodyOfWater, Lake Lolog]
-
A.
Lake Lolog
chosen
Lake Lolog is a scenic glacial lake in Argentina’s Patagonian Andes, known for its clear waters, surrounding forests, and outdoor recreation opportunities.
-
B.
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.
-
C.
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.
-
D.
Lake Atiamuri
Lake Atiamuri is a hydroelectric reservoir on the Waikato River in New Zealand, formed by the Atiamuri Power Station dam.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0b0508819093c62a4ceaf860ce |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.