Triple

T3180701
Position Surface form Disambiguated ID Type / Status
Subject Guy E66577 entity
Predicate relatedName P3889 FINISHED
Object Guyot E299629 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: Guyot | Statement: [Guy, relatedName, Guyot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guyot
Context triple: [Guy, relatedName, Guyot]
  • A. Guyot chosen
    Guyot is a common vine training system in viticulture that uses one or two long canes and a replacement spur to manage grapevine growth and yield.
  • B. Ampère Seamount
    Ampère Seamount is an underwater mountain in the Atlantic Ocean named in honor of the French physicist and mathematician André-Marie Ampère.
  • C. Manuae
    Manuae is an uninhabited coral atoll in the southern Cook Islands, known for its rich marine life and status as a wildlife sanctuary.
  • D. Raoul Island
    Raoul Island is a remote volcanic island in the South Pacific Ocean, forming part of New Zealand’s Kermadec Islands and known for its active volcano and protected nature reserve status.
  • E. Coronation Island
    Coronation Island is the largest and most mountainous of the South Orkney Islands in the Southern Ocean, known for its rugged glaciated terrain and harsh polar climate.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6a1280c8190b59a2afd30312c02 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235fd1688819080fa1d73d2b233ba completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.