Triple
T28720745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tehuacán-Cuicatlán Valley margins |
E730086
|
entity |
| Predicate | hasLanguageVarieties |
P84576
|
FINISHED |
| Object | Mazatec language varieties |
—
|
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: Mazatec language varieties | Statement: [Tehuacán-Cuicatlán Valley margins, hasLanguageVarieties, Mazatec language varieties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLanguageVarieties Context triple: [Tehuacán-Cuicatlán Valley margins, hasLanguageVarieties, Mazatec language varieties]
-
A.
hasLinguisticVariety
chosen
Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
-
B.
hasNumberOfDialects
Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
-
C.
hasLanguages
Indicates that an entity is associated with one or more languages it uses, supports, or is expressed in.
-
D.
isVarietyOfLanguageWithOfficialStatusIn
Indicates that a particular variety of a language holds official status within a specified geopolitical entity or region.
-
E.
languageVariants
Indicates that one language form is a variant or alternative version of another language.
- 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_69f043e91fe48190b73bcd8e08d433e0 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 5:53 a.m.