Triple

T20640683
Position Surface form Disambiguated ID Type / Status
Subject Chalcidian League E507211 entity
Predicate hasPart P35 FINISHED
Object Mende 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: Mende | Statement: [Chalcidian League, hasPart, Mende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mende
Context triple: [Chalcidian League, hasPart, Mende]
  • A. Mende
    The Mende are one of the largest ethnic groups in Sierra Leone, known for their rich traditions, secret societies, and significant influence on the country’s culture and politics.
  • B. Mende chosen
    Mende was an ancient Greek city-state located on the Pallene peninsula of Chalcidice, known in antiquity for its wine and maritime trade.
  • C. Mende
    Mende is a small historic town in southern France that serves as the prefecture of the Lozère department in the Occitanie region.
  • D. Ruthena
    Ruthena is a historical name for the French city of Rodez, reflecting its origins as an ancient settlement in the Rouergue region.
  • E. Zemst
    Zemst is a municipality in the Belgian province of Flemish Brabant, located in the Flanders region.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad132ebc8190b557914cf31a9033 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:43 a.m.