Triple

T5044829
Position Surface form Disambiguated ID Type / Status
Subject the Convent E113636 entity
Predicate inhabitedBy P6481 FINISHED
Object Seneca E73747 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: Seneca | Statement: [the Convent, inhabitedBy, Seneca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seneca
Context triple: [the Convent, inhabitedBy, Seneca]
  • A. Seneca chosen
    The Seneca are a Native American people of the Iroquoian language family, historically based in what is now western New York and known as one of the Six Nations of the Haudenosaunee (Iroquois) Confederacy.
  • B. Seneca the Younger
    Seneca the Younger was a prominent Roman Stoic philosopher, statesman, and playwright who served as advisor to Emperor Nero and authored influential works on ethics and practical wisdom.
  • C. Sénèque Obin
    Sénèque Obin was a Haitian painter associated with the Cap-Haïtien school of art, known for detailed, narrative depictions of Haitian life and history.
  • D. Cicero
    Cicero was a renowned Roman statesman, orator, and philosopher whose speeches and writings profoundly influenced Latin literature and Western political thought.
  • E. Cicero
    Cicero is a rapid transit station in Chicago serving the Chicago Transit Authority’s Blue Line.
  • 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_69bd44391fc48190a311ce9c826c209b completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73fd81788190b7799f519277119a completed March 20, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8ad6408190bf4408af7b095a12 completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.