Triple

T3877202
Position Surface form Disambiguated ID Type / Status
Subject Cayuga E92530 entity
Predicate alliedWith P37 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: [Cayuga, alliedWith, Seneca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seneca
Context triple: [Cayuga, alliedWith, 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec719c148190a731773ac262221b completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51251609c81909e19132475eb612d completed March 14, 2026, 7:46 a.m.
Created at: March 9, 2026, 3:20 p.m.