Triple

T17775399
Position Surface form Disambiguated ID Type / Status
Subject Xiamen Metro Line 1 E443753 entity
Predicate system P730 FINISHED
Object Xiamen Metro NE NERFINISHED

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: Xiamen Metro | Statement: [Xiamen Metro Line 1, system, Xiamen Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiamen Metro
Context triple: [Xiamen Metro Line 1, system, Xiamen Metro]
  • A. Xiamen Metro chosen
    Xiamen Metro is the rapid transit system serving the coastal city of Xiamen in Fujian Province, China, providing urban and suburban rail transportation.
  • B. Xiamen Metro Line 1
    Xiamen Metro Line 1 is a rapid transit line in Xiamen, China, that forms a key north–south backbone of the city’s metro system and connects major urban areas including the airport.
  • C. Xiamen Metro Line 2
    Xiamen Metro Line 2 is a rapid transit line in Xiamen, China, that runs east–west across the city, connecting key residential and commercial areas.
  • D. Xiamen Metro Line 6
    Xiamen Metro Line 6 is a rapid transit line serving the coastal city of Xiamen in Fujian, China, as part of its expanding urban metro network.
  • E. Xiamen Metro Line 3
    Xiamen Metro Line 3 is a rapid transit line serving the coastal city of Xiamen in Fujian, China, connecting key urban districts as part of the city's expanding metro network.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4871c23408190aae7f1a2c77a10cb completed April 19, 2026, 7:41 a.m.
Created at: April 10, 2026, 10:12 a.m.