Triple

T18890422
Position Surface form Disambiguated ID Type / Status
Subject Latial culture E462070 entity
Predicate mainSite P423 FINISHED
Object Gabii 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: Gabii | Statement: [Latial culture, mainSite, Gabii]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gabii
Context triple: [Latial culture, mainSite, Gabii]
  • A. Gabii chosen
    Gabii was an important ancient Latin city east of Rome, known for its early political and military significance in the region of Latium.
  • B. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • C. Dejima
    Dejima was a small artificial island in Nagasaki Bay that served as the Dutch trading post and Japan’s primary window to the Western world during its period of national isolation (sakoku).
  • D. Kankuamo
    The Kankuamo are an Indigenous people of Colombia’s Sierra Nevada de Santa Marta, known for their traditional spiritual practices, agriculture, and close cultural ties to ancient sites such as Ciudad Perdida.
  • E. Takadanobaba
    Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c47ab34c8190bfb69444a5263538 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.