Triple

T4662691
Position Surface form Disambiguated ID Type / Status
Subject Kaohsiung 17LIVE Steelers E102571 entity
Predicate location P40 FINISHED
Object Kaohsiung E151217 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: Kaohsiung | Statement: [Kaohsiung 17LIVE Steelers, location, Kaohsiung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaohsiung
Context triple: [Kaohsiung 17LIVE Steelers, location, Kaohsiung]
  • A. Kaohsiung chosen
    Kaohsiung is a major port city in southern Taiwan known for its heavy industry, modern harborfront, and growing cultural and arts scene.
  • B. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • C. Keelung
    Keelung is a major port city in northeastern Taiwan known for its busy harbor, seafood markets, and coastal scenery.
  • D. Taichung
    Taichung is a major city in central Taiwan known for its cultural attractions, mild climate, and role as an important economic and transportation hub.
  • E. Taipei, Taiwan
    Taipei, Taiwan is the capital and largest city of Taiwan, known as a major political, economic, and cultural center in East Asia.
  • 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632d6150819085bab97021c0235a completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf486aabac8190a90b4402403078ac completed March 22, 2026, 1:39 a.m.
Created at: March 20, 2026, 1:15 p.m.