Triple

T954998
Position Surface form Disambiguated ID Type / Status
Subject Lyon-Part-Dieu railway station E20605 entity
Predicate hasStationCode P1289 FINISHED
Object LYD
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
 E112702 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: LYD | Statement: [Lyon-Part-Dieu railway station, hasStationCode, LYD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LYD
Context triple: [Lyon-Part-Dieu railway station, hasStationCode, LYD]
  • A. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • B. LBY
    LBY is the three-letter ISO 3166-1 alpha-3 country code assigned to Libya.
  • C. LYBE
    LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • D. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • E. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • 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: LYD
Triple: [Lyon-Part-Dieu railway station, hasStationCode, LYD]
Generated description
LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LYD
Target entity description: LYD is the station code for Lyon-Part-Dieu, a major high-speed rail hub and one of the main railway stations in Lyon, France.
  • A. Lys
    The Lys is a river in northern France and western Belgium that flows through cities like Ghent and is known for its historical role in trade and the textile industry.
  • B. LBY
    LBY is the three-letter ISO 3166-1 alpha-3 country code assigned to Libya.
  • C. LYBE
    LYBE is the ICAO airport code for Belgrade Nikola Tesla Airport, the main international airport serving Serbia’s capital city.
  • D. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • E. YUL
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3f7a7608190b8a8dd2486654bec completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933b00a58819084164f3dd3ecb070 completed March 5, 2026, 7:41 a.m.
NEDg Description generation batch_69a963a788f08190b8849631db63bf00 completed March 5, 2026, 11:06 a.m.
NED2 Entity disambiguation (via description) batch_69ac0da2d24881909e6f67cc9951efd2 completed March 7, 2026, 11:36 a.m.
Created at: March 1, 2026, 7:40 p.m.