Triple

T13510582
Position Surface form Disambiguated ID Type / Status
Subject Lingering Garden E321128 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: [Lingering Garden, locatedIn, Gusu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gusu District
Context triple: [Lingering 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf86a6208190be8c18f7a0158f23 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3239c3bc8190a6838fe8f2f016bf completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 9:43 p.m.