Triple

T7640939
Position Surface form Disambiguated ID Type / Status
Subject Terang E173002 entity
Predicate ethnolinguisticGroup P3349 FINISHED
Object Karbi E584593 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: Karbi | Statement: [Terang, ethnolinguisticGroup, Karbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karbi
Context triple: [Terang, ethnolinguisticGroup, Karbi]
  • A. Karbi chosen
    Karbi is a Tibeto-Burman language spoken primarily by the Karbi people in the northeastern Indian state of Assam.
  • B. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • C. Jibal
    Jibal was a historical region in western Iran, centered around the Zagros Mountains and key cities like Rayy and Hamadan, that served as an important political and cultural center in the medieval Islamic world.
  • D. Boven Digul
    Boven Digul is a remote regency in Papua, Indonesia, known for its dense rainforests and historical role as a Dutch colonial exile camp area.
  • E. Tongelre
    Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facd9dec8190ab3af9cdde9992e6 completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a2159cd0819085bfdb8c7694077b completed March 29, 2026, 3:52 a.m.
Created at: March 27, 2026, 3:57 p.m.