Triple

T4917964
Position Surface form Disambiguated ID Type / Status
Subject Eteocles E110392 entity
Predicate associatedLocation P37 FINISHED
Object Cadmea E298883 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: Cadmea | Statement: [Eteocles, associatedLocation, Cadmea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadmea
Context triple: [Eteocles, associatedLocation, Cadmea]
  • A. Cadmea chosen
    Cadmea was the ancient fortified citadel at the heart of Thebes in Boeotia, serving as its political and military stronghold.
  • B. Arycanda
    Arycanda was an ancient Lycian city in what is now southwestern Turkey, noted for its well-preserved ruins and terraced layout on a steep mountainside.
  • C. Selinous
    Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
  • D. Caesonia
    Caesonia is a Roman cognomen (family name) used by women of the gens Atia in ancient Rome.
  • E. Cymē
    Cymē was an important ancient Greek city of Aeolis in western Asia Minor, known as a significant regional center in the early Hellenic world.
  • 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_69bd4413f9908190afcff44d7929cc4c completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa760448190946401b4b21ea8b7 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6ff19f508190902b77b9ca1e5ab6 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.