Triple

T15476009
Position Surface form Disambiguated ID Type / Status
Subject Potano E376781 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Yustaga
Yustaga were a Timucua-speaking Native American group that inhabited northwestern Florida during the early historic period.
 E1159345 NE FINISHED

How this triple was built (4 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: Yustaga | Statement: [Potano, relatedEthnicGroup, Yustaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yustaga
Context triple: [Potano, relatedEthnicGroup, Yustaga]
  • A. Bliznaka
    Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
  • B. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • C. Zima
    Zima is a small Siberian town in Russia known as the birthplace of poet Yevgeny Yevtushenko.
  • D. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • E. Thaw
    Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yustaga
Triple: [Potano, relatedEthnicGroup, Yustaga]
Generated description
Yustaga were a Timucua-speaking Native American group that inhabited northwestern Florida during the early historic period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yustaga
Target entity description: Yustaga were a Timucua-speaking Native American group that inhabited northwestern Florida during the early historic period.
  • A. Bliznaka
    Bliznaka is one of Bulgaria’s famous Seven Rila Lakes, known for its distinctive twin-like shape and scenic alpine surroundings in the Rila Mountains.
  • B. Zima
    Zima is a surname most notably associated with a family of American actresses, including Yvonne Zima and her sisters Madeline and Vanessa.
  • C. Zima
    Zima is a small Siberian town in Russia known as the birthplace of poet Yevgeny Yevtushenko.
  • D. Blizne
    Blizne is a village in southeastern Poland best known for its historic wooden All Saints Church, a UNESCO World Heritage Site.
  • E. Thaw
    Thaw is a surname most notably associated with English actor John Thaw, famed for his role as Inspector Morse.
  • F. None of above. chosen

Provenance (5 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f88a5dc8190a2d7830748e29180 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d093ccc8190aefc355a837c83f4 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff3015ee2c8190ad2c28cd2850d903 completed May 9, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69ff30ed9a5481909cefad0ef877a2e9 completed May 9, 2026, 1:04 p.m.
Created at: April 10, 2026, 3:34 a.m.