Triple

T2642186
Position Surface form Disambiguated ID Type / Status
Subject Hankou Railway Station E62893 entity
Predicate hasStationCode P1289 FINISHED
Object HKN E62893 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: HKN | Statement: [Hankou Railway Station, hasStationCode, HKN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HKN
Context triple: [Hankou Railway Station, hasStationCode, HKN]
  • A. HKN chosen
    HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
  • B. HKS
    HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
  • C. HKE
    HKE is the ICAO airline designator for HK Express, a low-cost carrier based in Hong Kong.
  • D. HeKKSaGOn University Alliance
    HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
  • E. Kappa Alpha Psi
    Kappa Alpha Psi is a historically African American collegiate fraternity founded in 1911 that emphasizes achievement, leadership, and community service.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd8fdc0bc8190b7fd102b87ee50d1 completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98bfd4008190a30675ebaf01e483 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.