Triple

T13992373
Position Surface form Disambiguated ID Type / Status
Subject Nanchang Metro Line 1 E336612 entity
Predicate partOf P40 FINISHED
Object Nanchang Metro E336612 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: Nanchang Metro | Statement: [Nanchang Metro Line 1, partOf, Nanchang Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanchang Metro
Context triple: [Nanchang Metro Line 1, partOf, Nanchang Metro]
  • A. Nanchang Metro chosen
    Nanchang Metro is the rapid transit system serving the city of Nanchang in Jiangxi Province, China.
  • B. Nanchang Metro Line 1
    Nanchang Metro Line 1 is a rapid transit line in Nanchang, China, forming part of the city's urban rail network and connecting key districts and transport hubs.
  • C. Nanchang Metro Line 2
    Nanchang Metro Line 2 is a major east–west rapid transit line in Nanchang, China, serving key urban districts and connecting important commercial and residential areas.
  • D. Nanchang Metro Line 3
    Nanchang Metro Line 3 is a rapid transit line in Nanchang, China, forming part of the city's expanding urban rail network.
  • E. Nanchang Metro Line 4
    Nanchang Metro Line 4 is a rapid transit line in Nanchang, China, forming part of the city's expanding urban rail 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdef5e0648190ace4ec1605968e30 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:19 p.m.