Triple

T4314332
Position Surface form Disambiguated ID Type / Status
Subject Sanjak of Batum E94150 entity
Predicate ethnicComposition P1898 FINISHED
Object Laz E206171 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: Laz | Statement: [Sanjak of Batum, ethnicComposition, Laz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laz
Context triple: [Sanjak of Batum, ethnicComposition, Laz]
  • A. Laz chosen
    Laz is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the southeastern Black Sea coast, particularly in northeastern Turkey and parts of Georgia.
  • B. Ladd
    Ladd is a surname most prominently associated with American actress Diane Ladd and her family of performers.
  • C. Lazgi
    Lazgi is a vibrant and expressive traditional Uzbek dance known for its rapid hand movements, lively rhythms, and roots in the cultural heritage of the Khorezm region.
  • D. Chaz
    Chaz is a common diminutive or nickname for the given name Charles, often used in English-speaking countries.
  • E. Laur
    Laur is a rural municipality in the province of Nueva Ecija in the Philippines, known for its agricultural landscape and proximity to the Sierra Madre mountain range.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08245408190b1ce584c636bf168 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.