Triple
T26465104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culle |
E665739
|
entity |
| Predicate | linguisticLandscape |
P17400
|
FINISHED |
| Object | pre-Hispanic northern Peruvian Andes |
—
|
LITERAL 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: pre-Hispanic northern Peruvian Andes | Statement: [Culle, linguisticLandscape, pre-Hispanic northern Peruvian Andes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticLandscape Context triple: [Culle, linguisticLandscape, pre-Hispanic northern Peruvian Andes]
-
A.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
B.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
C.
languageVitality
Indicates the degree to which a language is actively used, maintained, and transmitted within a community, reflecting its risk of endangerment or extinction.
-
D.
linguisticArea
chosen
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
E.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
- F. None of above.
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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61a17a7788190946f7e32d63cd43f |
completed | May 2, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
Created at: April 27, 2026, 12:15 a.m.