Triple

T16368051
Position Surface form Disambiguated ID Type / Status
Subject Mercury E397485 entity
Predicate worshipCenter P14925 FINISHED
Object Cumae E52280 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: Cumae | Statement: [Mercury, worshipCenter, Cumae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cumae
Context triple: [Mercury, worshipCenter, 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 (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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff3f0694819097faa1c1447a9e97 completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc29f088190ba5d69ff3c12a251 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:08 a.m.