Triple

T4931569
Position Surface form Disambiguated ID Type / Status
Subject Khobi E110707 entity
Predicate partOf P40 FINISHED
Object Khobi Municipality E480609 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: Khobi Municipality | Statement: [Khobi, partOf, Khobi Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khobi Municipality
Context triple: [Khobi, partOf, Khobi Municipality]
  • A. Khobi Municipality chosen
    Khobi Municipality is a local administrative district in western Georgia that encompasses the town of Khobi and surrounding settlements.
  • B. Khashuri Municipality
    Khashuri Municipality is an administrative district in central Georgia, centered around the town of Khashuri within the Shida Kartli region.
  • C. Siha District
    Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
  • D. Pishin District
    Pishin District is an administrative district in the Balochistan province of Pakistan, known for its agricultural economy and predominantly Pashtun population.
  • E. Khoms District
    Khoms District is an administrative region in northwestern Libya best known for encompassing the ancient Roman city and archaeological site of Leptis Magna on the Mediterranean coast.
  • 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd7063c57c8190a5a6fb3586238d35 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c5f8ec8190834c624bae17adff completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.