Triple

T13011953
Position Surface form Disambiguated ID Type / Status
Subject Kuwana E322437 entity
Predicate hasFlowerPark P22590 FINISHED
Object Nabana no Sato E1017315 NE FINISHED

How this triple was built (3 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: Nabana no Sato | Statement: [Kuwana, hasFlowerPark, Nabana no Sato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nabana no Sato
Context triple: [Kuwana, hasFlowerPark, Nabana no Sato]
  • A. Nabana no Sato chosen
    Nabana no Sato is a renowned flower and illumination theme park in Mie Prefecture, Japan, famous for its expansive seasonal floral displays and spectacular winter light shows.
  • B. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • C. Kashiwa-no-ha
    Kashiwa-no-ha is a modern, planned district in Kashiwa, Chiba Prefecture, Japan, known for its smart-city initiatives, research institutions, and residential developments centered around Kashiwa-no-ha Campus Station.
  • D. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • E. Takadanobaba
    Takadanobaba is a lively Tokyo neighborhood known for its student population, affordable eateries, and strong connections to nearby universities like Waseda.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFlowerPark
Context triple: [Kuwana, hasFlowerPark, Nabana no Sato]
  • A. hasParks chosen
    Indicates that one entity possesses, contains, or is associated with one or more parks.
  • B. hasParkDistrict
    Indicates that an entity is associated with, located within, or administered by a specific park district.
  • C. hasParkAndGardenRegister
    Indicates that an entity is recorded in an official register of parks and gardens.
  • D. hasWaterPark
    Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
  • E. hasThemePark
    Indicates that one entity owns, contains, or is associated with a theme park as part of its properties or offerings.
  • F. None of above.

Provenance (4 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5f6c4e081909f035260462015b1 completed May 3, 2026, 4:58 a.m.
PD Predicate disambiguation batch_69d97dc153a081909d13a694993f074a completed April 10, 2026, 10:46 p.m.
Created at: April 9, 2026, 8:49 p.m.