Triple

T8601267
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Shanghai Metro) E203679 entity
Predicate hasTerminus P388 FINISHED
Object East Xujing station E731062 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: East Xujing station | Statement: [Line 2 (Shanghai Metro), hasTerminus, East Xujing station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: East Xujing station
Context triple: [Line 2 (Shanghai Metro), hasTerminus, East Xujing station]
  • A. East Xujing Station chosen
    East Xujing Station is a western suburban terminus of the Shanghai Metro network serving Line 2 and providing access to the Qingpu District area.
  • B. Xitucheng station
    Xitucheng station is a subway station on the Beijing Subway system serving the Haidian District area.
  • C. Tiyu Xilu Station
    Tiyu Xilu Station is a major interchange and one of the busiest metro stations in Guangzhou, China, serving as a key hub in the Guangzhou Metro network.
  • D. Pingxifu station
    Pingxifu station is a subway station in Beijing, China, serving passengers on the city's Line 8 metro route.
  • E. Xicun Station
    Xicun Station is a metro station in Guangzhou, China, serving passengers on the Guangzhou Metro network.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebbb11140819081bde8a1565aad4a completed April 2, 2026, 6:55 p.m.
Created at: March 30, 2026, 6:24 p.m.