Triple
T2957388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | indigenous peoples of Mexico |
E79965
|
entity |
| Predicate | culturalDiversity |
P8516
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [indigenous peoples of Mexico, culturalDiversity, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalDiversity Context triple: [indigenous peoples of Mexico, culturalDiversity, high]
-
A.
culturalVariation
chosen
Indicates that there are differences in practices, beliefs, or expressions between cultures or within a culture across groups, contexts, or time.
-
B.
diversity
Indicates the degree to which a set of entities differs along one or more dimensions such as type, attributes, or characteristics.
-
C.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
D.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
E.
centerOfDiversity
Indicates the location where a particular group, trait, or phenomenon exhibits its greatest variety or concentration of diversity.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| PD | Predicate disambiguation | batch_69ad960c5c8881909d679912bd7d78f3 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:57 p.m.