Triple

T12102590
Position Surface form Disambiguated ID Type / Status
Subject Pnyx hill E288225 entity
Predicate overlooks P1323 FINISHED
Object ancient city of 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: ancient city of Athens | Statement: [Pnyx hill, overlooks, ancient city of Athens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ancient city of Athens
Context triple: [Pnyx hill, overlooks, ancient city of Athens]
  • A. Ateni
    Ateni is a historic village in eastern Georgia known for its nearby medieval Ateni Sioni Church and scenic river valley setting.
  • 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 historic college town in northeastern Georgia, best known as the home of the University of Georgia and for its vibrant music and arts scene.
  • D. Athens
    Athens is a small town in Mercer County, West Virginia, best known as the home of Concord University.
  • E. Athens
    Athens is a small college town in southeastern Ohio best known as the home of Ohio University and its vibrant campus-centered community.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915568b9881909fc9edacefb86409 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f674eab481909859b5403741eddd completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.