Triple

T1760968
Position Surface form Disambiguated ID Type / Status
Subject Laches E38656 entity
Predicate setting P1957 FINISHED
Object Athens 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 | Statement: [Laches, setting, Athens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athens
Context triple: [Laches, setting, Athens]
  • A. Athens chosen
    Athens is Greece’s largest city and a historic center of ancient civilization, renowned as the birthplace of democracy and Western philosophy.
  • B. 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.
  • 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. 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.
  • E. Olympia, Greece
    Olympia, Greece is an ancient sanctuary in the Peloponnese renowned as the original site of the Olympic Games in classical antiquity.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64410b58819098be7dc5da23d7af completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0cf5a3481908434c725e85360a2 completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.