Triple

T10335210
Position Surface form Disambiguated ID Type / Status
Subject Mopsuestia E242983 entity
Predicate hasAlternativeName P39 FINISHED
Object Mamistron E857727 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: Mamistron | Statement: [Mopsuestia, hasAlternativeName, Mamistron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamistron
Context triple: [Mopsuestia, hasAlternativeName, Mamistron]
  • A. Mamistra chosen
    Mamistra is an ancient city in Cilicia, historically known as Mopsuestia, which served as an important regional center in the Hellenistic, Roman, and Byzantine periods.
  • B. Mamu
    Mamu is a notable Odia novel by Fakir Mohan Senapati that satirically portrays social and political life in colonial Odisha.
  • C. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • D. Muddonna
    Muddonna is the costumed female mascot of the Toledo Mud Hens minor league baseball team, known for entertaining fans at games and team events.
  • E. Mams
    Mams is a commonly used nickname for Mamelodi, a large township northeast of Pretoria in South Africa.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc425748190a3d29f81e32e948b completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794fe4fe481908e4c343ceeb5de25 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:53 a.m.