Triple

T11817451
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Metro Line 7 E281036 entity
Predicate connectsKeyDistrict P101470 FINISHED
Object Jing’an District E43309 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: Jing’an District | Statement: [Shanghai Metro Line 7, connectsKeyDistrict, Jing’an District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jing’an District
Context triple: [Shanghai Metro Line 7, connectsKeyDistrict, Jing’an District]
  • A. Jing’an District chosen
    Jing’an District is a central urban district of Shanghai known for its commercial centers, historic temples, and dense residential and business areas.
  • B. Hongqiao District
    Hongqiao District is an urban administrative district of the municipality of Tianjin in northern China, known for its dense residential areas and commercial activity.
  • C. Changning District
    Changning District is a central urban district of Shanghai, China, known for its residential neighborhoods, commercial centers, and the city’s main international airport, Hongqiao.
  • D. Xuhui District
    Xuhui District is a central urban district of Shanghai, China, known for its historic architecture, cultural institutions, and major commercial and educational hubs.
  • E. Hongkou District
    Hongkou District is a central urban district of Shanghai, China, known for its historic neighborhoods, cultural landmarks, and role in the city’s commercial and residential life.
  • 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: connectsKeyDistrict
Context triple: [Shanghai Metro Line 7, connectsKeyDistrict, Jing’an District]
  • A. connectsCity
    Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
  • B. connectsFormerDistrict
    Indicates that one entity is or was linked to another entity that previously held the status of a district.
  • C. hasDistrictKey
    Indicates that an entity is associated with a specific district through a unique identifying key.
  • D. targetCityDistrict
    Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
  • E. endPointDistrict
    Indicates the district in which a path, route, or connection terminates.
  • F. None of above. chosen

Provenance (5 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a658f918819092c2db05fe2ab0ce completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffb58e50bc819086622a33b59cc332 completed May 9, 2026, 10:30 p.m.
PD Predicate disambiguation batch_69d8a24e9a088190aff7932d1ff93dbf completed April 10, 2026, 7:10 a.m.
PDg Predicate description generation batch_69d8a6574b7081908f7451d2bb233967 completed April 10, 2026, 7:27 a.m.
Created at: April 8, 2026, 9:42 p.m.