Triple

T18827947
Position Surface form Disambiguated ID Type / Status
Subject Mechelen-Nekkerspoel railway station E460440 entity
Predicate hasStationCode P1289 FINISHED
Object FMN
FMN is the station code for Mechelen-Nekkerspoel railway station in Belgium.
 E1344605 NE FINISHED

How this triple was built (4 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: FMN | Statement: [Mechelen-Nekkerspoel railway station, hasStationCode, FMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FMN
Context triple: [Mechelen-Nekkerspoel railway station, hasStationCode, FMN]
  • A. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • B. FMF
    FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
  • C. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • D. FM!
    FM! is a 2018 studio album by American rapper Vince Staples that blends West Coast hip-hop with a conceptual radio-show format and sharp social commentary.
  • E. FNMT
    FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FMN
Triple: [Mechelen-Nekkerspoel railway station, hasStationCode, FMN]
Generated description
FMN is the station code for Mechelen-Nekkerspoel railway station in Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FMN
Target entity description: FMN is the station code for Mechelen-Nekkerspoel railway station in Belgium.
  • A. FMF
    FMF is the commonly used abbreviation for the Mexican Football Federation, the governing body of professional and amateur soccer in Mexico.
  • B. FMF
    FMF is a U.S. government program that provides grants and loans to help foreign countries purchase American defense equipment, services, and training.
  • C. FUM
    FUM is an abbreviation for Ferdowsi University of Mashhad, a major public research university in Mashhad, Iran.
  • D. FM!
    FM! is a 2018 studio album by American rapper Vince Staples that blends West Coast hip-hop with a conceptual radio-show format and sharp social commentary.
  • E. FNMT
    FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
  • F. None of above. chosen

Provenance (5 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bfa4a88190b17d3118121414be completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bd216d881908bee50901656372e completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a0561e6500c8190b42d8257180ad7a6 completed May 14, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_6a05623b880c81908fedf88e6a79ac31 completed May 14, 2026, 5:48 a.m.
Created at: April 10, 2026, 11:56 a.m.