Triple

T15683285
Position Surface form Disambiguated ID Type / Status
Subject King of Pontus E377632 entity
Predicate hasCapital P204 FINISHED
Object Amasia E341655 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: Amasia | Statement: [King of Pontus, hasCapital, Amasia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amasia
Context triple: [King of Pontus, hasCapital, Amasia]
  • A. Amasia chosen
    Amasia (modern Amasya in Turkey) is an ancient city in northern Anatolia known as the early royal center of the Kingdom of Pontus and the birthplace of the geographer Strabo.
  • B. Amasia
    Amasia is a village located in Armenia’s Shirak Province, known for its rural setting in the country’s northwestern highlands.
  • C. Planasia
    Planasia was a small island off the coast of Italy used by the Romans as a place of political exile.
  • D. Aasiaat
    Aasiaat is a coastal town in western Greenland known for its fishing industry, colorful houses, and location amid the icebergs and wildlife-rich waters of the Arctic.
  • E. Asianet
    Asianet is a leading Malayalam-language television channel and entertainment network widely watched in the Indian state of Kerala and among the Malayali diaspora.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.