Triple
T11528504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lonquimay |
E273357
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Malalcahuello |
E313213
|
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: Malalcahuello | Statement: [Lonquimay, nearbyTown, Malalcahuello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malalcahuello Context triple: [Lonquimay, nearbyTown, Malalcahuello]
-
A.
Hualpén
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.
Quilpué
Quilpué is a rapidly growing commuter city in central Chile known for its residential character and proximity to the port city of Valparaíso.
-
D.
Melipeuco
chosen
Melipeuco is a small Andean foothill town and commune in southern Chile known for its proximity to Conguillío National Park and the Llaima volcano.
-
E.
Coihueco
Coihueco is a Chilean town and commune located in the Ñuble Region, known for its agricultural activities and rural character.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d883972b10819093bd09cf8406671c |
completed | April 10, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6855270b08190bdb175a8dede176e |
completed | April 20, 2026, 7:58 p.m. |
Created at: April 8, 2026, 9:37 p.m.