Triple
T15316160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Talcahuano |
E366162
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Hualpén |
E182125
|
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: Hualpén | Statement: [Port of Talcahuano, nearbyCity, Hualpén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hualpén Context triple: [Port of Talcahuano, nearbyCity, Hualpén]
-
A.
Hualpén
chosen
Hualpén is a coastal city and commune in Chile’s Biobío Region, known for its industrial activity, residential areas, and proximity to the metropolitan area of Concepción.
-
B.
Riñinahue
Riñinahue is a small lakeside settlement in southern Chile known for its scenic location on the shores of Ranco Lake amid the Andean foothills.
-
C.
Itariri
Itariri is a small municipality in the state of São Paulo, Brazil, known for its rural character and proximity to the Atlantic coastal region.
-
D.
Quilpué
Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
-
E.
Pucón
Pucón is a popular tourist town in southern Chile known for its lakeside setting on Villarrica Lake and proximity to the active Villarrica Volcano, offering outdoor activities like hiking, skiing, and hot springs.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03dd1d384819098f38402a8740d91 |
completed | April 16, 2026, 1:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a688a48190848eb7f065aba146 |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.