Triple
T19783647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pedro de Valdivia Bridge |
E475201
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Valdivia |
—
|
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: Valdivia | Statement: [Pedro de Valdivia Bridge, locatedIn, Valdivia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdivia Context triple: [Pedro de Valdivia Bridge, locatedIn, Valdivia]
-
A.
Valdivia
chosen
Valdivia is a historic river port city in southern Chile known for its colonial heritage, waterways, and role as a regional cultural and economic center.
-
B.
Balmaceda
Balmaceda is a Spanish-language surname of Chilean origin, notably borne by actor Pedro Pascal (born José Pedro Balmaceda Pascal).
-
C.
Arauco
Arauco is a coastal city and commune in Chile known for its forestry industry and location within the Biobío Region.
-
D.
Montt
Montt is a Chilean surname most notably associated with Manuel Montt, a 19th-century president of Chile.
-
E.
Huilliche
The Huilliche are an Indigenous people of southern Chile, closely related to the Mapuche, with their own distinct language variety and cultural traditions tied to the coastal and forested regions of Los Lagos and Los Ríos.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65385ee8081908d58cc3ff05b9b23 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.