Triple

T8903758
Position Surface form Disambiguated ID Type / Status
Subject 蛇山 E211994 entity
Predicate 所在区 P83410 FINISHED
Object 武昌区 E77262 NE FINISHED

How this triple was built (3 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: 武昌区 | Statement: [蛇山, 所在区, 武昌区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 武昌区
Context triple: [蛇山, 所在区, 武昌区]
  • A. 汉阳
    汉阳是中国湖北省武汉市的一个历史悠久的城区,位于长江与汉江交汇处,以其工业基础和文化遗产而闻名。
  • B. Jianghan District
    Jianghan District is a central urban district of Wuhan, Hubei Province, known for its commercial hubs and historical and cultural sites.
  • C. Wuchang District chosen
    Wuchang District is a central urban district of Wuhan, China, known for its historical significance, educational institutions, and location along the Yangtze River.
  • D. Jiang’an District, Wuhan
    Jiang’an District is a central urban district of Wuhan, China, known for its historic riverfront along the Yangtze and Han rivers and its legacy as part of the former foreign concession area in Hankou.
  • E. Jiangxia District
    Jiangxia District is a suburban administrative district in the southeastern part of Wuhan, China, known for its rapid urban development and integration into the city’s metro network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: 所在区
Context triple: [蛇山, 所在区, 武昌区]
  • A. regionOfCity
    Indicates that a specified area or district is a constituent part or subdivision of a particular city.
  • B. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • C. basedInDistrict
    Indicates that an entity is located or has its primary base of operations within a specific administrative district.
  • D. homeCityRegion
    Indicates the city or broader regional area that serves as an entity’s primary place of residence or origin.
  • E. locatedInRegionalDistrict chosen
    Indicates that one entity is geographically situated within the boundaries of a specified regional district.
  • F. None of above.

Provenance (4 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c2509881908fb692522d348e96 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:55 p.m.