Triple

T20346000
Position Surface form Disambiguated ID Type / Status
Subject Lezgi E495871 entity
Predicate neighboringPeoples P11274 FINISHED
Object Tabasarans NE NERFINISHED

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: Tabasarans | Statement: [Lezgi, neighboringPeoples, Tabasarans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tabasarans
Context triple: [Lezgi, neighboringPeoples, Tabasarans]
  • A. Tabasarans chosen
    Tabasarans are an indigenous Northeast Caucasian ethnic group of Dagestan known for their distinct Tabasaran language and traditional mountain culture.
  • B. Tutrakan
    Tutrakan is a town on the Danube River in northeastern Bulgaria, historically significant as the site of major World War I fighting.
  • C. Serakhs
    Serakhs is a historic oasis city in southern Turkmenistan, situated at a strategic crossroads near the Iranian border.
  • D. Dalaba
    Dalaba is a town in central Guinea known for its cool climate, scenic highland landscapes, and historical role as a colonial-era hill station.
  • E. Nawabate
    Nawabate refers to a princely or semi-autonomous state ruled by a Nawab under the suzerainty of a larger empire, particularly in the Indian subcontinent.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783937a48190ac86e4959a781a2b completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.