Triple

T8435185
Position Surface form Disambiguated ID Type / Status
Subject Armenia under Abbasid Caliphate E199209 entity
Predicate hasPart P35 FINISHED
Object Taron E728074 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: Taron | Statement: [Armenia under Abbasid Caliphate, hasPart, Taron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taron
Context triple: [Armenia under Abbasid Caliphate, hasPart, Taron]
  • A. Taron
    Taron is a masculine given name most prominently associated with Welsh actor Taron Egerton.
  • B. Taron
    Taron is a high-speed multi-launch steel roller coaster located at Phantasialand in Germany, renowned for its intense layout and immersive themed environment.
  • C. Taron chosen
    Taron was a historical Armenian province and cultural region in the upper Euphrates area, known as an early center of Armenian Christianity and noble dynasties.
  • D. Torell
    Torell is a given name and surname of Scandinavian origin, often considered a variant or diminutive of the name Tore.
  • E. Teron
    Teron is one of the traditional clans of the Karbi people, an indigenous ethnic group primarily inhabiting the Karbi Anglong region of Assam in Northeast India.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a905ac8190b1015e1da9b16938 completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d71d9748190903ed97dde6d28f4 completed April 2, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:08 p.m.