Triple

T8702962
Position Surface form Disambiguated ID Type / Status
Subject Svear E206575 entity
Predicate mentionedBy P831 FINISHED
Object Jordanes E224013 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: Jordanes | Statement: [Svear, mentionedBy, Jordanes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jordanes
Context triple: [Svear, mentionedBy, Jordanes]
  • A. Jordanes chosen
    Jordanes was a 6th-century Roman bureaucrat and historian best known for his work "Getica," a key source on the history of the Goths and other barbarian peoples.
  • B. Nabataean kingdom
    The Nabataean kingdom was an ancient Arab state centered on the city of Petra that flourished as a major trading hub in the Near East from around the 4th century BCE until its annexation by the Roman Empire.
  • C. Jordan
    Jordan is a municipality in the Philippines that serves as the capital of the island province of Guimaras in the Western Visayas region.
  • D. Jordan
    Jordan is a popular Nike-owned athletic footwear and apparel brand originally inspired by basketball legend Michael Jordan and known for its iconic Air Jordan sneakers.
  • E. Jordan
    Jordan was a Formula One racing team and constructor known for launching the careers of several top drivers and competing in the sport during the 1990s and early 2000s.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58b5b44081909e7b33c70fac236d completed March 31, 2026, 11:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef41e3ec08190b29adf483cdf8cc3 completed April 2, 2026, 10:56 p.m.
Created at: March 30, 2026, 6:34 p.m.