Triple

T11314070
Position Surface form Disambiguated ID Type / Status
Subject Dagestan ASSR E267916 entity
Predicate officialLanguage P236 FINISHED
Object Lezgin E600269 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: Lezgin | Statement: [Dagestan ASSR, officialLanguage, Lezgin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lezgin
Context triple: [Dagestan ASSR, officialLanguage, Lezgin]
  • A. Lezgin chosen
    Lezgin is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan (Russia) and northern Azerbaijan.
  • B. La Lecture
    La Lecture is an early 20th-century painting by Pablo Picasso that depicts a contemplative female figure and reflects his evolving style during his transition from Cubism toward a more classical, figurative approach.
  • C. Leer
    Leer is a historic town in northwestern Germany known for its maritime heritage and traditional East Frisian culture.
  • D. Dua Libro
    "Dua Libro" is the second major book in the early Esperanto literature corpus, continuing the development and promotion of the Esperanto language after "Unua Libro."
  • E. Mother of the Book
    Mother of the Book is an honorific title in Islamic tradition for Surah Al-Fatiha, the opening chapter of the Qur’an regarded as its essential core and summary.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c2c7b081909af8acebc8aa93aa completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a910a2c8190b8afd4c988e64141 completed April 19, 2026, 5:02 p.m.
Created at: April 8, 2026, 9:32 p.m.