Triple
T19316596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coñaripe |
E483113
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object | Panguipulli |
—
|
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: Panguipulli | Statement: [Coñaripe, hasNearbyTown, Panguipulli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panguipulli Context triple: [Coñaripe, hasNearbyTown, Panguipulli]
-
A.
Panguipulli
chosen
Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
-
B.
San Rafael del Sur
San Rafael del Sur is a town in Nicaragua that serves as the administrative and commercial center of the surrounding San Rafael del Sur Municipality.
-
C.
Ossorio
Ossorio is a Spanish-origin surname notably borne by Filipino-American abstract expressionist artist Alfonso Ossorio.
-
D.
Belén de los Andaquíes
Belén de los Andaquíes is a small municipality in southern Colombia known for its Amazonian rainforest environment and location within the Caquetá Department.
-
E.
Tocancipá
Tocancipá is a Colombian municipality in the department of Cundinamarca, known for its industrial activity, motorsport circuit, and proximity to Bogotá.
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d843640819089ff3738aae29eb1 |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:32 p.m.