Triple

T36969334
Position Surface form Disambiguated ID Type / Status
Subject Baguirmi E914515 entity
Predicate hasPrimarySpeakerCommunity P205670 FINISHED
Object rural communities in southwestern Chad — 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: rural communities in southwestern Chad | Statement: [Baguirmi, hasPrimarySpeakerCommunity, rural communities in southwestern Chad]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimarySpeakerCommunity
Context triple: [Baguirmi, hasPrimarySpeakerCommunity, rural communities in southwestern Chad]
  • A. hasSpeakerCommunityStatus
    Indicates that an entity has a particular status or role within a community of speakers of a language.
  • B. hasMainSpeaker
    Indicates that one entity serves as the primary or principal speaker associated with another entity, such as an event, recording, or presentation.
  • C. hasTargetCommunity
    Indicates that something is specifically intended for, directed toward, or designed to serve a particular community or group.
  • D. hasSpeakersAmong
    Indicates that a group, event, or entity includes one or more speakers drawn from a specified set or category.
  • E. hasSpeakerStatus
    Indicates that an entity holds a particular role, rank, or status in the context of speaking or serving as a speaker.
  • 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_69f76e8c498c8190b2842db80aea8b3b completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_6a037cad051c8190b28b354b89208574 completed May 12, 2026, 7:17 p.m.
PD Predicate disambiguation batch_6a037a10036481909c71188b2a0e7f04 completed May 12, 2026, 7:05 p.m.
PDg Predicate description generation batch_6a037c842b2c819082f1d2db995ac2eb completed May 12, 2026, 7:16 p.m.
Created at: May 3, 2026, 4:14 p.m.