Triple
T19238800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamín Vicuña Mackenna |
E481074
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vicuña Mackenna |
—
|
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: Vicuña Mackenna | Statement: [Benjamín Vicuña Mackenna, familyName, Vicuña Mackenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vicuña Mackenna Context triple: [Benjamín Vicuña Mackenna, familyName, Vicuña Mackenna]
-
A.
Vicuña Mackenna
Vicuña Mackenna is a mountain peak in Chile’s Atacama Desert, notable as one of the highest summits in the coastal mountain range.
-
B.
Vicuña Mackenna
chosen
Vicuña Mackenna is a Chilean surname most prominently associated with Benjamín Vicuña Mackenna, a 19th-century politician, historian, and intellectual.
-
C.
Jocoro
Jocoro is a small town in eastern El Salvador known for its rural character and location within the Morazán Department.
-
D.
Chinchero
Chinchero is a traditional Andean town in Peru known for its Inca archaeological site, colonial church, and vibrant textile-weaving culture.
-
E.
Quilleco
Quilleco is a small town and commune in Chile’s Biobío Region, known for its proximity to the Angostura hydroelectric dam on the Biobío River.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faef827c81909157bbcd4060dfc9 |
completed | April 20, 2026, 10:07 a.m. |
Created at: April 10, 2026, 1:26 p.m.