Triple

T12156267
Position Surface form Disambiguated ID Type / Status
Subject Gerousia E289581 entity
Predicate hasSelectionBody P4132 FINISHED
Object Apella E288237 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: Apella | Statement: [Gerousia, hasSelectionBody, Apella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apella
Context triple: [Gerousia, hasSelectionBody, Apella]
  • A. Apella chosen
    Apella was the principal popular assembly of Spartan male citizens, responsible for making key political, military, and legislative decisions in the Spartan state.
  • B. Boulē
    Boulē was the principal citizen council in classical Athens responsible for preparing legislation and overseeing the day-to-day administration of the city-state’s government.
  • C. Gerousia
    The Gerousia was the Spartan council of elders, a powerful governing body that shaped legislation and policy in ancient Sparta.
  • D. Ágora
    Ágora is a striking, futuristic multi-purpose event and exhibition space in Valencia, Spain, designed by Santiago Calatrava as part of the City of Arts and Sciences complex.
  • E. Areopagus
    The Areopagus was an influential council and court of ancient Athens, known for overseeing legal and moral matters and advising the city’s government.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915c1673c8190830cd15525d16869 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f69c8d408190abbc900deb534045 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.