Triple

T2441989
Position Surface form Disambiguated ID Type / Status
Subject Aboriginal languages E53296 entity
Predicate estimatedPreContactVarieties P38509 FINISHED
Object hundreds of dialects 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: hundreds of dialects | Statement: [Aboriginal languages, estimatedPreContactVarieties, hundreds of dialects]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: estimatedPreContactVarieties
Context triple: [Aboriginal languages, estimatedPreContactVarieties, hundreds of dialects]
  • A. numberOfSpecies
    Indicates the count of distinct species associated with a given entity or context.
  • B. hasIndigenousPresence
    Indicates that an indigenous community, culture, or population is present, active, or historically rooted in the referenced place or context.
  • C. introducedFromOldWorldToAmericas
    Indicates that something was brought or transferred from the Old World (Europe, Africa, or Asia) to the Americas for the first time.
  • D. demographyPreConquest
    Indicates the demographic characteristics or population structure of a place or group as they existed before a conquest occurred.
  • E. inhabitedSince
    Indicates that a place has been continuously or initially occupied or lived in by someone or something starting from a specified time.
  • F. None of above. chosen

Provenance (4 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abcabf477081908512df63ac1a6414 completed March 7, 2026, 6:50 a.m.
PD Predicate disambiguation batch_69abc5ad8e588190b97c4cd7cf575043 completed March 7, 2026, 6:29 a.m.
PDg Predicate description generation batch_69abcabe646c8190855d13b5dff07b97 completed March 7, 2026, 6:50 a.m.
Created at: March 6, 2026, 9:43 p.m.