Triple

T3330328
Position Surface form Disambiguated ID Type / Status
Subject South Semitic languages E70016 entity
Predicate includesLanguage P2177 FINISHED
Object Minaean E168916 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: Minaean | Statement: [South Semitic languages, includesLanguage, Minaean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minaean
Context triple: [South Semitic languages, includesLanguage, Minaean]
  • A. Minaean chosen
    Minaean is an ancient Old South Arabian language and script associated with the Minaean kingdom in what is now Yemen.
  • B. Mino
    Mino were an elite all-female military regiment of the Kingdom of Dahomey, renowned for their discipline, bravery, and significant role in the kingdom’s warfare.
  • C. Mysia
    Mysia was an ancient region in northwestern Asia Minor, along the coast of the Sea of Marmara and the Aegean Sea, known from Greek and Roman historical and mythological sources.
  • D. Selinous
    Selinous is an ancient town in the region of Cilicia, in what is now southern Turkey, known from classical antiquity.
  • E. Gytheio
    Gytheio is a historic coastal town and port in the southern Peloponnese of Greece, known as the former seaport of ancient Sparta and a gateway to the Laconian Gulf.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb171ee0881908642504ab0ac8329 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32514c2f48190b20b8975c96d32a7 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:12 p.m.