Triple

T20317742
Position Surface form Disambiguated ID Type / Status
Subject Maassluis railway station E510421 entity
Predicate hasStationCode P1289 FINISHED
Object Mss NE NERFINISHED

How this triple was built (3 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: Mss | Statement: [Maassluis railway station, hasStationCode, Mss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mss
Context triple: [Maassluis railway station, hasStationCode, Mss]
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • C. MSMS
    MSMS is a graduate-level degree program focused on advanced studies in management, business strategy, and organizational leadership.
  • D. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • E. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mss
Target entity description: Mss is the station code for Maassluis railway station in the Netherlands.
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • C. MSMS
    MSMS is a graduate-level degree program focused on advanced studies in management, business strategy, and organizational leadership.
  • D. MMSM
    MMSM is the ICAO airport code assigned to Felipe Ángeles International Airport, a major commercial airport serving the Mexico City metropolitan area.
  • E. MSH
    MSH is the vehicle registration code for the Mansfeld-Südharz district in the German state of Saxony-Anhalt.
  • F. None of above. chosen

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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67788ca3c8190a3496fd54a5870d6 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:19 a.m.