Triple

T734534
Position Surface form Disambiguated ID Type / Status
Subject Georgia E14900 entity
Predicate stateFruit P10088 FINISHED
Object Peach E28110 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: Peach | Statement: [Georgia, stateFruit, Peach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peach
Context triple: [Georgia, stateFruit, Peach]
  • A. Peach chosen
    The peach is a sweet, juicy stone fruit with fuzzy skin, widely cultivated and celebrated in Georgia and other temperate regions.
  • B. Plum
    Plum is the affectionate nickname of P. G. Wodehouse, the celebrated English humorist and creator of the Jeeves and Wooster stories.
  • C. Mango
    Mango is a sweet, tropical stone fruit widely cultivated and consumed around the world, especially in South Asia.
  • D. Banana
    Banana is a British television drama series created by Russell T Davies that explores the lives and relationships of LGBTQ+ characters in contemporary Manchester.
  • E. Pyrus
    Pyrus is a genus of flowering plants best known for including the cultivated pear trees that produce edible pears.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5d8c6148190a468f2d95f7ec91f completed March 1, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5f0de4819083457c86e5e93ba0 completed March 3, 2026, 2:41 a.m.
Created at: March 1, 2026, 7:37 p.m.