Triple

T13477876
Position Surface form Disambiguated ID Type / Status
Subject Jinan West railway station E318294 entity
Predicate hasConnection P8776 FINISHED
Object Jinan Metro E317313 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: Jinan Metro | Statement: [Jinan West railway station, hasConnection, Jinan Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinan Metro
Context triple: [Jinan West railway station, hasConnection, Jinan Metro]
  • A. Jinan Metro chosen
    Jinan Metro is the rapid transit system serving the city of Jinan, providing urban rail transportation across the provincial capital of Shandong, China.
  • B. Jinan Metro Line 1
    Jinan Metro Line 1 is a rapid transit line in Jinan, China, providing east–west urban rail service as part of the city's metro network.
  • C. Jinan Metro Line 2
    Jinan Metro Line 2 is a rapid transit line serving the city of Jinan, China, as part of its urban subway network.
  • D. Jinan Metro Line 3
    Jinan Metro Line 3 is a rapid transit line in the Jinan Metro system serving key urban areas of Jinan, China.
  • E. Shenyang Metro
    Shenyang Metro is the rapid transit system serving the city of Shenyang, China, providing urban rail transportation across multiple lines and key hubs.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746318490819095a5697cc396eb6f completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.