Triple
T23068656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vilcabamba region |
E575126
|
entity |
| Predicate | associatedSite |
P2830
|
FINISHED |
| Object | Vitcos |
—
|
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: Vitcos | Statement: [Vilcabamba region, associatedSite, Vitcos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitcos Context triple: [Vilcabamba region, associatedSite, Vitcos]
-
A.
Vitcos
chosen
Vitcos was an important Inca settlement and ceremonial center in the Vilcabamba region of Peru, associated with the final stronghold of the Inca resistance against Spanish conquest.
-
B.
Vimioso
Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
-
C.
Vici
Vici is a small town located in Dewey County in the state of Oklahoma, United States.
-
D.
Veltro
Veltro is the nickname of the Macchi C.205, an Italian World War II fighter aircraft renowned for its speed and agility.
-
E.
Vernio
Vernio is a municipality in the Province of Prato in Tuscany, central Italy, known for its historic hilltop villages and Apennine landscape.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a5aa4081909b3f0dc92877323d |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.