Triple

T12777076
Position Surface form Disambiguated ID Type / Status
Subject Paktia Province E305404 entity
Predicate dominantTribalConfederation P3193 FINISHED
Object Karlani E184799 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: Karlani | Statement: [Paktia Province, dominantTribalConfederation, Karlani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlani
Context triple: [Paktia Province, dominantTribalConfederation, Karlani]
  • A. Karlani chosen
    Karlani is one of the principal Pashtun tribal confederations, encompassing numerous tribes primarily located in eastern Afghanistan and northwestern Pakistan.
  • B. Karu
    Karu is a local government area in Nasarawa State, Nigeria, known for its proximity to Abuja and rapid urban growth as a residential and commercial hub.
  • C. Karu
    Karu was the personal name of Emperor Monmu, an 8th-century ruler of Japan from the Asuka/Nara period.
  • D. Kadina
    Kadina is a historic copper mining town and one of the main commercial centers on South Australia's Yorke Peninsula.
  • E. Kaei
    Kaei is an alternate name for the Kayeli language, an Austronesian language historically spoken on Buru Island in Indonesia.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e595e008190b42dff3012d17d66 completed April 10, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f685013e0481908db09302a2ced207 completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:29 p.m.