Triple

T13554161
Position Surface form Disambiguated ID Type / Status
Subject Thuɔŋjäŋ E323726 entity
Predicate hasDialects P4251 FINISHED
Object Padang Dinka E323724 NE 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: Padang Dinka | Statement: [Thuɔŋjäŋ, hasDialects, Padang Dinka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Padang Dinka
Context triple: [Thuɔŋjäŋ, hasDialects, Padang Dinka]
  • A. Padang Dinka chosen
    Padang Dinka is a major dialect of the Dinka language spoken primarily by the Padang subgroup of the Dinka people in South Sudan.
  • B. Padang Bai
    Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
  • C. Belawa
    Belawa is a town and administrative district located within Wajo Regency in South Sulawesi, Indonesia.
  • D. Sawahlunto
    Sawahlunto is a historic former coal-mining town in Indonesia known for its well-preserved colonial-era architecture and recognition as a UNESCO World Heritage Site.
  • E. Dipatiukur
    Dipatiukur is a central urban area in Bandung, Indonesia, known for hosting one of Universitas Padjadjaran’s main campuses and its surrounding student-oriented neighborhood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff1c1f0819084352d9b2ee13d7a completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.