Triple

T19220913
Position Surface form Disambiguated ID Type / Status
Subject Khobi Municipality E480609 entity
Predicate containsSettlement P847 FINISHED
Object Khobi 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: Khobi | Statement: [Khobi Municipality, containsSettlement, Khobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khobi
Context triple: [Khobi Municipality, containsSettlement, Khobi]
  • A. Khobi chosen
    Khobi is a small town in the Samegrelo-Zemo Svaneti region of western Georgia, serving as a local administrative and cultural center.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Qanjobal
    Qanjobal is a Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of Guatemala.
  • D. Khotta
    Khotta is an alternate name for the Khortha language, an Indo-Aryan language spoken primarily in the Indian state of Jharkhand.
  • E. Kabiye
    Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fa3e8d488190a93fb743dabd0ffb completed April 20, 2026, 10:04 a.m.
Created at: April 10, 2026, 1:24 p.m.