Triple
T5174289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanquihue Lake |
E116758
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Los Lagos |
E481815
|
NE FINISHED |
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: Los Lagos | Statement: [Llanquihue Lake, region, Los Lagos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Lagos Context triple: [Llanquihue Lake, region, Los Lagos]
-
A.
Los Lagos
Los Lagos is a small Chilean city located in the Los Ríos Region, known for its riverside setting and role as a local agricultural and forestry center.
-
B.
Los Lagos
chosen
Los Lagos is a region in southern Chile known for its numerous lakes, volcanoes, and lush temperate rainforests.
-
C.
Puerto Varas
Puerto Varas is a picturesque lakeside city in southern Chile’s Los Lagos Region, known for its German-influenced architecture and views of the Osorno and Calbuco volcanoes.
-
D.
Talcahuano
Talcahuano is a major Chilean port city and naval base known for its shipyards and fishing industry.
-
E.
Puerto Aysén
Puerto Aysén is a small port city in Chilean Patagonia that serves as a key gateway to the fjords, glaciers, and national parks of the Aysén Region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd445ff97c81909a2615cc56235470 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7971284481909e6d07b2368a4f76 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf77a987ec8190bda4df37468d9918 |
completed | March 22, 2026, 5:01 a.m. |
Created at: March 20, 2026, 1:45 p.m.