Triple

T903921
Position Surface form Disambiguated ID Type / Status
Subject Athens, Georgia E19503 entity
Predicate hasSisterCity P919 FINISHED
Object Athens, Greece E12615 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: Athens, Greece | Statement: [Athens, Georgia, hasSisterCity, Athens, Greece]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens, Greece
Context triple: [Athens, Georgia, hasSisterCity, Athens, Greece]
  • A. Athens
    Athens is a historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • B. Athens chosen
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • C. Athens
    Athens is a small city in northern Alabama known as the county seat of Limestone County and part of the Huntsville-Decatur metropolitan area.
  • D. Olympia, Greece
    Olympia, Greece is an ancient sanctuary in the Peloponnese renowned as the original site of the Olympic Games in classical antiquity.
  • E. Piraeus
    Piraeus is the main port of Athens and one of the largest and busiest seaports in the Mediterranean, serving as a key hub for Greek and international maritime trade and passenger transport.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad58334881908df191140b786780 completed March 1, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac119519488190a60aca9bb425f800 completed March 7, 2026, 11:52 a.m.
Created at: March 1, 2026, 7:39 p.m.