Triple

T9692780
Position Surface form Disambiguated ID Type / Status
Subject 天安门 E234574 entity
Predicate 地理位置 P3227 FINISHED
Object 北京市东城区 E49277 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: 北京市东城区 | Statement: [天安门, 地理位置, 北京市东城区]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 北京市东城区
Context triple: [天安门, 地理位置, 北京市东城区]
  • A. Dongcheng District, Beijing chosen
    Dongcheng District, Beijing is a central urban district of China's capital city that encompasses many of its most important political, historical, and cultural landmarks, including Tiananmen Square and the Forbidden City.
  • B. 上京区
    上京区 is a central ward of Kyoto, Japan, known for its historic temples, traditional townscapes, and cultural landmarks including parts of the Kyoto Imperial Palace area.
  • C. Xicheng District, Beijing
    Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
  • D. 东区
    东区是韩国蔚山广域市的一个行政区，以工业设施与港口经济为主。
  • E. Daxing District
    Daxing District is a rapidly developing suburban district in southern Beijing, China, known for hosting the major Beijing Daxing International Airport and large-scale urban expansion.
  • 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: 地理位置
Context triple: [天安门, 地理位置, 北京市东城区]
  • A. geographicContext chosen
    Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
  • B. timeLocatedIn
    Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
  • C. location depicted
    Indicates that one entity visually represents or shows the place where another entity is situated or occurs.
  • D. mapLocation
    Indicates a relationship where an entity is associated with a specific position or area on a map.
  • E. locationComponent
    Indicates that one entity is a constituent or sub-part of a larger location defined by another entity.
  • 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d0727908190897894151c0ee7c2 completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1911d33f081908637cbf4c1949bcd completed April 4, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69ccd5b840f081909f66bf0b66d17d9b completed April 1, 2026, 8:22 a.m.
Created at: March 30, 2026, 8:17 p.m.