Triple

T20145263
Position Surface form Disambiguated ID Type / Status
Subject Adigeni Municipality E491285 entity
Predicate locatedInHistoricalRegion P915 FINISHED
Object Samtskhe 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: Samtskhe | Statement: [Adigeni Municipality, locatedInHistoricalRegion, Samtskhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samtskhe
Context triple: [Adigeni Municipality, locatedInHistoricalRegion, Samtskhe]
  • A. Samtskhe chosen
    Samtskhe is a historical and geographic region in southern Georgia known for its mountainous landscapes, medieval fortresses, and cultural heritage.
  • B. Sakule
    Sakule is a village located within the municipality of Opovo in Serbia, known as a small rural settlement in the Vojvodina region.
  • C. Msasani
    Msasani is a coastal residential and commercial neighborhood in Dar es Salaam, Tanzania, known for its beaches, nightlife, and expatriate community.
  • D. Samtah
    Samtah is a town in southwestern Saudi Arabia located in the Jazan Region near the border with Yemen.
  • E. Motshegetsi
    Motshegetsi is the full given name of Motsi Mabuse, the South African-born professional dancer and television personality.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679d89688190ae88d81002d16d6e completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.