Triple

T10529969
Position Surface form Disambiguated ID Type / Status
Subject Yamaguchi Prefecture E248411 entity
Predicate hasCity P316 FINISHED
Object Hagi E464779 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: Hagi | Statement: [Yamaguchi Prefecture, hasCity, Hagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hagi
Context triple: [Yamaguchi Prefecture, hasCity, Hagi]
  • A. Hagi chosen
    Hagi is a historic castle town in Yamaguchi Prefecture, Japan, known for its well-preserved samurai districts, traditional streets, and role in the late Edo and Meiji Restoration periods.
  • B. Hagi
    Hagi is a Romanian surname most famously associated with Gheorghe Hagi, one of Romania’s greatest footballers.
  • C. Hadano
    Hadano is a city in Kanagawa Prefecture, Japan, known for its natural scenery, hiking trails, and proximity to the Tanzawa Mountains.
  • D. Higashiyamato
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods and proximity to the Tama region’s parks and green spaces.
  • E. Isehara
    Isehara is a city in Kanagawa Prefecture, Japan, known as a residential and industrial area with access to nearby natural attractions such as the Tanzawa Mountains.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.