Triple
T21096631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Llanquihue |
E519783
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Puerto Varas |
—
|
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: Puerto Varas | Statement: [Llanquihue, nearbyCity, Puerto Varas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puerto Varas Context triple: [Llanquihue, nearbyCity, Puerto Varas]
-
A.
Puerto Varas
chosen
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.
-
B.
Puerto Valdivia
Puerto Valdivia is a small riverside town in northern Colombia known for its location along the Cauca River and its role as a local transport and trading point.
-
C.
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.
-
D.
Los Lagos
Los Lagos is a region in southern Chile known for its numerous lakes, volcanoes, and lush temperate rainforests.
-
E.
Puerto Montt
Puerto Montt is a port city in southern Chile, serving as a key gateway to the Patagonian fjords and the Chilean Lake District.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b595cdc8190ba7a6f3f71d40c3f |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.