Triple

T17906653
Position Surface form Disambiguated ID Type / Status
Subject Jonny 2x4 E447718 entity
Predicate carries P1393 FINISHED
Object Plank 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: Plank | Statement: [Jonny 2x4, carries, Plank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plank
Context triple: [Jonny 2x4, carries, Plank]
  • A. Plank chosen
    Plank is a surname most notably associated with Kevin Plank, the American billionaire founder and former CEO of Under Armour.
  • B. Simanu
    Simanu is a month in the ancient Babylonian calendar, corresponding roughly to late spring or early summer in the modern Gregorian calendar.
  • C. Ossa
    Ossa is a prominent mountain in Greece, historically significant in Greek mythology and known for its dramatic landscapes.
  • D. Bogo
    Bogo is an alternative name for the Bilen people, an ethnic group primarily living in Eritrea.
  • E. Bogo
    Bogo is a component city located in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding municipalities and islands.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9c7f54819088c6d2ce7bbea073 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.