Triple

T19498065
Position Surface form Disambiguated ID Type / Status
Subject 義大犀牛 E487825 entity
Predicate 主場所在地區 P5282 FINISHED
Object 高雄市鳥松區 NE NERFINISHED

How this triple was built (4 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: 高雄市鳥松區 | Statement: [義大犀牛, 主場所在地區, 高雄市鳥松區]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 高雄市鳥松區
Context triple: [義大犀牛, 主場所在地區, 高雄市鳥松區]
  • A. 中山區
    中山區 is a central urban district of Taipei, Taiwan, known for its bustling commercial areas, hotels, and cultural attractions.
  • B. 萬華區
    萬華區是臺北市一個歷史悠久的市轄區,以傳統街區風貌與宗教文化景點聞名。
  • C. 南港區
    南港區 is a district in eastern Taipei, Taiwan, known for its technology parks, transportation hubs, and a mix of industrial and residential areas.
  • D. 五股區
    五股區 is an urban district of New Taipei City in northern Taiwan, located along the Tamsui River and known for its mix of industrial areas, residential neighborhoods, and transportation links.
  • E. 中華民國高雄市旗津區
    中華民國高雄市旗津區是高雄市轄下一個以港灣景觀、海鮮與觀光聞名的海岸行政區。
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 高雄市鳥松區
Target entity description: 高雄市鳥松區是位於臺灣高雄市郊區、以住宅與休閒設施並存而聞名的行政區。
  • A. 中山區
    中山區 is a central urban district of Taipei, Taiwan, known for its bustling commercial areas, hotels, and cultural attractions.
  • B. 萬華區
    萬華區是臺北市一個歷史悠久的市轄區,以傳統街區風貌與宗教文化景點聞名。
  • C. 南港區
    南港區 is a district in eastern Taipei, Taiwan, known for its technology parks, transportation hubs, and a mix of industrial and residential areas.
  • D. 五股區
    五股區 is an urban district of New Taipei City in northern Taiwan, located along the Tamsui River and known for its mix of industrial areas, residential neighborhoods, and transportation links.
  • E. 中華民國高雄市旗津區
    中華民國高雄市旗津區是高雄市轄下一個以港灣景觀、海鮮與觀光聞名的海岸行政區。
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 主場所在地區
Context triple: [義大犀牛, 主場所在地區, 高雄市鳥松區]
  • A. primaryHomeGroundNot
    Indicates that the specified location is explicitly not the entity’s primary home ground.
  • B. previousHomeGroundLocatedIn
    Indicates that the location specified is where an entity’s former or earlier home ground was situated.
  • C. homeFieldLocation chosen
    Indicates the location where an entity’s primary or home field, venue, or playing ground is situated.
  • D. stateOfHomeGround
    Indicates the location or region that serves as an entity’s primary home ground or base of operations.
  • E. sportsVenueLocatedIn
    Indicates that a sports venue is geographically situated within a specified location or administrative area.
  • F. None of above.

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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63493232881909fc33fb84da3e1b5 completed April 20, 2026, 2:13 p.m.
PD Predicate disambiguation batch_69e4fd7bd25881908caa04eaef1f6718 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:40 p.m.