Triple

T18431173
Position Surface form Disambiguated ID Type / Status
Subject Greenville, Alabama E450271 entity
Predicate nickname P55 FINISHED
Object The Camellia City 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: The Camellia City | Statement: [Greenville, Alabama, nickname, The Camellia City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Camellia City
Context triple: [Greenville, Alabama, nickname, The Camellia City]
  • A. The Camellia City chosen
    The Camellia City is a nickname for Greenville, Alabama, highlighting its association with and celebration of camellia flowers.
  • B. The Scarlet Camellia
    The Scarlet Camellia is a classic Japanese film best known for showcasing actress Ayako Wakao in a prominent dramatic role.
  • C. City of Osmanthus
    The City of Osmanthus is a poetic nickname for Xianning, a city in Hubei Province, China, renowned for its abundant and fragrant osmanthus trees.
  • D. When the Camellia Blooms
    When the Camellia Blooms is a popular South Korean romantic comedy–thriller television drama that follows a single mother’s life and love story in a small town while a serial killer lurks in the background.
  • E. Cidade das Flores
    Cidade das Flores is a picturesque Brazilian city renowned for its mild climate, abundant gardens, and vibrant floral displays.
  • 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_69d8d381d6388190a9e94e9c658174e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e51b1771788190b26afdf65e9de502 completed April 19, 2026, 6:12 p.m.
Created at: April 10, 2026, 11:26 a.m.