Triple

T3083453
Position Surface form Disambiguated ID Type / Status
Subject Pontus E64311 entity
Predicate containsCity P294 FINISHED
Object Amaseia E325073 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: Amaseia | Statement: [Pontus, containsCity, Amaseia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amaseia
Context triple: [Pontus, containsCity, Amaseia]
  • A. Amaseia chosen
    Amaseia was an ancient city in northern Anatolia that served as the early capital of the Kingdom of Pontus and an important regional political and cultural center.
  • B. Ambracia
    Ambracia was an ancient Greek city in Epirus that became an important regional center and later the capital of King Pyrrhus.
  • C. Selinus
    Selinus was an ancient Greek city on the southwest coast of Sicily, notable for its grand Doric temples and strategic position in the western Greek colonial world.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Selymbria
    Selymbria was an ancient Greek colony on the Propontis (Sea of Marmara), known as a coastal city strategically located near the later site of Constantinople.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b203607df081909499458d6608f0e6 completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:03 p.m.