Triple

T19130296
Position Surface form Disambiguated ID Type / Status
Subject Skeireins fragments E468297 entity
Predicate language P15 FINISHED
Object Gothic NE NERFINISHED

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: Gothic | Statement: [Skeireins fragments, language, Gothic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gothic
Context triple: [Skeireins fragments, language, Gothic]
  • A. Gothic chosen
    Gothic refers to the East Germanic people and their language, historically known for their role in the late Roman Empire and early medieval Europe.
  • B. Gothic
    Gothic is a medieval European architectural style characterized by pointed arches, ribbed vaults, flying buttresses, and an emphasis on verticality and light.
  • C. Gothic
    Gothic is a 2001 action role-playing video game known for its immersive open world, complex faction system, and influential role in shaping European RPG design.
  • D. Gothics
    Gothics is a prominent and rugged Adirondack High Peak in New York, known for its dramatic cliffs and panoramic summit views.
  • E. Gothic literature
    Gothic literature is a genre of fiction that emerged in the late 18th century, characterized by mysterious and supernatural elements, dark and atmospheric settings, and themes of terror, decay, and the uncanny.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3e8c49481908b6be87af54d12cf completed April 20, 2026, 8:29 a.m.
Created at: April 10, 2026, 12:05 p.m.