Triple

T5757572
Position Surface form Disambiguated ID Type / Status
Subject Augsburg E127006 entity
Predicate twinCity P1072 FINISHED
Object Amagasaki E85802 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: Amagasaki | Statement: [Augsburg, twinCity, Amagasaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amagasaki
Context triple: [Augsburg, twinCity, Amagasaki]
  • A. Amagasaki chosen
    Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
  • B. Nishinomiya
    Nishinomiya is a city in Japan’s Hyōgo Prefecture, located between Osaka and Kobe, known for its Koshien Stadium and strong baseball culture.
  • C. Kurashiki
    Kurashiki is a historic industrial and canal city in Okayama Prefecture, Japan, known for its well-preserved Edo-period merchant quarter and traditional warehouses.
  • D. Kaizuka
    Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
  • E. Kashihara
    Kashihara is a city in Nara Prefecture, Japan, historically associated with the legendary founding of the Japanese imperial line and home to significant Shinto sites.
  • 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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029084e108190988f1b5f38254007 completed March 22, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d016a0027c81908d3454447fa461b2 completed April 3, 2026, 7:36 p.m.
Created at: March 22, 2026, 3:49 p.m.