Triple

T8525661
Position Surface form Disambiguated ID Type / Status
Subject Chrysanthos of Madytos E201808 entity
Predicate placeOfOrigin P3743 FINISHED
Object Madytos E308560 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: Madytos | Statement: [Chrysanthos of Madytos, placeOfOrigin, Madytos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madytos
Context triple: [Chrysanthos of Madytos, placeOfOrigin, Madytos]
  • A. Madytos chosen
    Madytos was a town in the Byzantine Empire, located in the region of the Hellespont in what is now northwestern Turkey.
  • B. Mže
    Mže is a river in the Czech Republic that flows through the city of Plzeň and forms part of the Berounka river system.
  • C. Multai
    Multai is a town in Madhya Pradesh, India, known as a traditional source region of the Tapti River and a local religious and commercial center.
  • D. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • E. Maitlis
    Maitlis is the surname of Emily Maitlis, a prominent British journalist and former lead presenter of BBC Two’s flagship news program Newsnight.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6463fe48190b6d3482212356be1 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e975d7c8190a7a1fc25c1d67a6f completed April 2, 2026, 11:10 a.m.
Created at: March 30, 2026, 6:16 p.m.