Triple
T24909843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna de San Pedro |
E623815
|
entity |
| Predicate | spokenLanguageInSurroundings |
P67236
|
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: [Laguna de San Pedro, spokenLanguageInSurroundings, Spanish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenLanguageInSurroundings Context triple: [Laguna de San Pedro, spokenLanguageInSurroundings, Spanish]
-
A.
isSpokenAround
chosen
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
-
B.
spokenInLocality
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
-
C.
spokenNear
Indicates that one entity spoke in close physical proximity to another entity or location.
-
D.
isSpokenInTerrain
Indicates that a particular language or speech form is used or occurs within a specific type of terrain or geographical environment.
-
E.
speaksIn
Indicates that an entity uses or expresses itself in a particular language or medium when speaking.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:27 a.m.