Triple

T36558063
Position Surface form Disambiguated ID Type / Status
Subject Himling E901746 entity
Predicate remnantOfRegion P99373 FINISHED
Object eastern Beleriand 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: eastern Beleriand | Statement: [Himling, remnantOfRegion, eastern Beleriand]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: remnantOfRegion
Context triple: [Himling, remnantOfRegion, eastern Beleriand]
  • A. remnantRegion chosen
    Indicates that a region is a leftover or remaining part of something that previously existed or was larger.
  • B. destroyedRegion
    Indicates that an entity has caused the destruction or severe damage of a specified region.
  • C. remnantName
    Indicates that an entity is identified by a name specifically associated with a remaining part, leftover, or surviving fragment of something previously whole.
  • D. remnantType
    Indicates the specific kind or category of remnant that results from or is associated with an entity or process.
  • E. ruledRemnantsOf
    Indicates that one entity exercised governing authority or control over the remaining parts or survivors of another entity after its decline, collapse, or partial destruction.
  • F. None of above.

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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c9f5a8848190ba956ff27f44e396 completed May 3, 2026, 10:19 p.m.
PD Predicate disambiguation batch_69f7c8999a348190abc1895eaa6e036d completed May 3, 2026, 10:13 p.m.
Created at: May 3, 2026, 4:11 p.m.