Triple

T17803163
Position Surface form Disambiguated ID Type / Status
Subject Jinshan District E444485 entity
Predicate borders P224 FINISHED
Object Shimen District E466342 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: Shimen District | Statement: [Jinshan District, borders, Shimen District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shimen District
Context triple: [Jinshan District, borders, Shimen District]
  • A. Shimen District chosen
    Shimen District is a rural coastal district in northern Taiwan known for its scenic shoreline, historic sites, and role as part of New Taipei City.
  • B. Shimajiri District
    Shimajiri District is a rural administrative district in Okinawa Prefecture, Japan, encompassing several islands and coastal areas in the southern part of the prefecture.
  • C. Tsurumai district
    Tsurumai district is an urban neighborhood in Nagoya, Japan, known for its central park, cultural facilities, and convenient access to public transportation.
  • D. Soraku District
    Soraku District is a rural administrative district located in the southern part of Kyoto Prefecture, Japan, known for its small towns and agricultural landscapes.
  • E. Nishitama District
    Nishitama District is a rural administrative district in western Tokyo Metropolis, Japan, known for its small towns, mountainous terrain, and natural scenery.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4880171608190be2088c7a387bfb7 completed April 19, 2026, 7:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07ccafa04c8190849980aeda8f3435 completed May 16, 2026, 1:47 a.m.
Created at: April 10, 2026, 10:13 a.m.