Triple

T5180478
Position Surface form Disambiguated ID Type / Status
Subject Imathia E116906 entity
Predicate containsArchaeologicalSite P11933 FINISHED
Object Aigai E122779 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: Aigai | Statement: [Imathia, containsArchaeologicalSite, Aigai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aigai
Context triple: [Imathia, containsArchaeologicalSite, Aigai]
  • A. Aigai
    Aigai was an ancient Greek city of Aeolis in western Asia Minor, known as one of the Aeolian dodecapolis.
  • B. Aigai chosen
    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.
  • C. Ageo
    Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
  • D. Ayizan
    Ayizan is a prominent Haitian Vodou spirit revered as the patron of marketplaces, initiation rites, and sacred knowledge, especially associated with commerce and spiritual purity.
  • E. Shimaore
    Shimaore is a Bantu language closely related to Comorian, widely spoken by the local population of Mayotte in the Indian Ocean.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd799a322c8190b8a590cfe70761f5 completed March 20, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9553bc0819082a37a83a3edf7e8 completed March 21, 2026, 5:45 p.m.
Created at: March 20, 2026, 1:45 p.m.