Triple

T17376046
Position Surface form Disambiguated ID Type / Status
Subject Baia E422440 entity
Predicate locatedNear P294 FINISHED
Object Cumae NE NERFINISHED

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: Cumae | Statement: [Baia, locatedNear, Cumae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumae
Context triple: [Baia, locatedNear, Cumae]
  • A. Cumae chosen
    Cumae was an ancient Greek colony in Italy, renowned as one of the earliest Hellenic settlements in the West and famous for its oracle, the Cumaean Sibyl.
  • B. Keliko
    Keliko is a Central Sudanic language spoken by the Keliko people primarily in South Sudan and the Democratic Republic of the Congo.
  • C. Calah
    Calah is an ancient Assyrian city, better known today as Nimrud, which served as a major political and cultural center of the Neo-Assyrian Empire in northern Mesopotamia.
  • D. Jangamo
    Jangamo is a coastal town and district in southern Mozambique known for its beaches and proximity to popular diving and fishing areas along the Indian Ocean.
  • E. Mundugumor
    Mundugumor refers to a Papua New Guinean riverine people (also known as the Biwat) whose strongly aggressive, competitive social life was famously analyzed by Margaret Mead in her cross-cultural study of gender and temperament.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6c864481908507290282cc6d25 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.