Triple
T8353293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Los Pelambres mine |
E196613
|
entity |
| Predicate | languageOfLocalArea |
P10892
|
FINISHED |
| Object | Spanish |
—
|
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: Spanish | Statement: [Los Pelambres mine, languageOfLocalArea, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfLocalArea Context triple: [Los Pelambres mine, languageOfLocalArea, Spanish]
-
A.
regionLanguage
chosen
Indicates that a particular language is used or officially recognized within a specific geographic region.
-
B.
languageOfLocalOrganization
Indicates the language used or officially adopted by a local organization in its operations or communications.
-
C.
languageUse
Indicates the language or languages an entity uses for communication, expression, or interaction.
-
D.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
E.
majorityLanguageOf
Indicates that a given language is the primary or most widely spoken language within a specified group, region, or entity.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804756088190a766e1a486ccfdff |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:59 p.m.