Triple

T13340959
Position Surface form Disambiguated ID Type / Status
Subject Couple’s Retreat Garden E317821 entity
Predicate locatedIn P40 FINISHED
Object Gusu District E477894 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: Gusu District | Statement: [Couple’s Retreat Garden, locatedIn, Gusu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gusu District
Context triple: [Couple’s Retreat Garden, locatedIn, Gusu District]
  • A. Gusu District chosen
    Gusu District is the central urban district of Suzhou, China, known for its historic canals, classical gardens, and well-preserved ancient cityscape.
  • B. Govuro District
    Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
  • C. Shinkay District
    Shinkay District is an administrative district located in Zabul Province in southern Afghanistan.
  • D. Ivanava District
    Ivanava District is an administrative district in the Brest Region of southwestern Belarus, known for its rural settlements and small towns such as Motal.
  • E. Kuse District
    Kuse District is a rural administrative district located in Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99d0379d481909a50fff31b19fed1 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f794202df08190acf1a7710b64198c completed May 3, 2026, 6:29 p.m.
Created at: April 9, 2026, 9:31 p.m.