Triple

T17634060
Position Surface form Disambiguated ID Type / Status
Subject Agostino Chigi E430046 entity
Predicate employer P7 FINISHED
Object Sodoma 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: Sodoma | Statement: [Agostino Chigi, employer, Sodoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sodoma
Context triple: [Agostino Chigi, employer, Sodoma]
  • A. Sodoma chosen
    Sodoma was an Italian High Renaissance painter, born Giovanni Antonio Bazzi, known for his expressive frescoes and work in Rome and Siena.
  • B. Sodom
    Sodom is a small hamlet within the town of Southeast in Putnam County, New York, known primarily as a local residential community.
  • C. Sodom
    Sodom is an ancient biblical city, traditionally depicted in the Book of Genesis as a center of grave wickedness that was ultimately destroyed by divine judgment.
  • D. Erechim
    Erechim is a city in southern Brazil known for its strong German-Brazilian cultural heritage and influence.
  • E. Canaan City
    Canaan City is a popular nickname for Calabar, a historic coastal city in southeastern Nigeria known for its rich culture and tourism.
  • 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_69d889e37f308190a6aa0a69daff86c7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46ddea4688190a76a4225f268c0ac completed April 19, 2026, 5:53 a.m.
Created at: April 10, 2026, 5:52 a.m.