Triple

T15239839
Position Surface form Disambiguated ID Type / Status
Subject Jianguomen Outer Street E364225 entity
Predicate hasTransportConnection P845 FINISHED
Object Jianguomen Station E73036 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: Jianguomen Station | Statement: [Jianguomen Outer Street, hasTransportConnection, Jianguomen Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jianguomen Station
Context triple: [Jianguomen Outer Street, hasTransportConnection, Jianguomen Station]
  • A. Jianguomen station chosen
    Jianguomen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between central city lines near the historic Jianguomen area.
  • B. Hepingmen station
    Hepingmen station is an underground metro station on the Beijing Subway serving the central Xicheng District near historic commercial and cultural areas.
  • C. Chongwenmen station
    Chongwenmen station is a major interchange stop on the Beijing Subway serving central Beijing near the historic Chongwenmen gate area.
  • D. Fuxingmen station
    Fuxingmen station is a major interchange stop on the Beijing Subway, serving as a key transfer point between multiple central city lines.
  • E. Lujiazui station
    Lujiazui station is a major Shanghai Metro stop serving the city’s key financial district in Pudong.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007db9a148190aadea8d5f8b6b261 completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3aeb59c8190a39ccb4df7815ed0 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 3:12 a.m.