Triple

T3004591
Position Surface form Disambiguated ID Type / Status
Subject Montreux E81869 entity
Predicate hasTwinTown P919 FINISHED
Object Chiba E180374 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: Chiba | Statement: [Montreux, hasTwinTown, Chiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiba
Context triple: [Montreux, hasTwinTown, Chiba]
  • A. Chiba chosen
    Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
  • B. Ibaraki City
    Ibaraki City is a suburban city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • C. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • D. Hachiōji
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • E. Yokkaichi
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • 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_69ad8b1c4de88190a83b7cefaa1f2842 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a149b248190ac4f11afc4871cc1 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfc4184b38819084c8c6d5c27d3906 completed March 22, 2026, 10:27 a.m.
Created at: March 8, 2026, 2:59 p.m.