Triple

T2801882
Position Surface form Disambiguated ID Type / Status
Subject Ophiostoma piceae E53165 entity
Predicate foundOn P33560 FINISHED
Object spruce wood LITERAL 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: spruce wood | Statement: [Ophiostoma piceae, foundOn, spruce wood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: foundOn
Context triple: [Ophiostoma piceae, foundOn, spruce wood]
  • A. commonlyFoundOn chosen
    Indicates that one entity is typically or frequently located on, attached to, or present upon another entity.
  • B. foundInRegion
    Indicates that something is located within, occurs in, or is associated with a specific geographic or spatial region.
  • C. foundInVolume
    Indicates that one entity is physically or logically contained within, or occurs in, a specific volume (such as a book volume, data volume, or bounded collection).
  • D. finds
    Indicates that one entity discovers, locates, or comes upon another entity, often as the result of a search or encounter.
  • E. foundOnIsland
    Indicates that one entity is located or discovered on an island in relation to another entity.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde2ec2ac8190bd702ad3eafb6aed completed March 7, 2026, 8:13 a.m.
PD Predicate disambiguation batch_69abdd059f308190853191f6ffe2bc6f completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.