Triple

T1846723
Position Surface form Disambiguated ID Type / Status
Subject Colchis E41299 entity
Predicate hasAlternativeName P39 FINISHED
Object Aea E206089 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: Aea | Statement: [Colchis, hasAlternativeName, Aea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aea
Context triple: [Colchis, hasAlternativeName, Aea]
  • A. Aia chosen
    Aia was the ancient city that served as the capital of the kingdom of Colchis, located in the region of present-day western Georgia and known from Greek mythology and classical sources.
  • B. Ara
    Ara is a historic city in the Indian state of Bihar, known for its role in the Indian independence movement and as the center of Bhojpur district.
  • C. Aigai
    Aigai was the ancient capital of the kingdom of Macedon, historically significant as the royal seat and burial place of its kings before the rise of Pella.
  • D. Arcahaie
    Arcahaie is a coastal commune in western Haiti historically known as the birthplace of the Haitian flag.
  • E. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb052e0a8819091bbc0da0e0a20fb completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c6941081909cef987ebe4b4d6c completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.