Triple

T4003505
Position Surface form Disambiguated ID Type / Status
Subject Leiden Centraal E89468 entity
Predicate stationCode P1289 FINISHED
Object Ledn
Ledn is the official station code used to identify Leiden Centraal railway station in the Netherlands.
 E407407 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: Ledn | Statement: [Leiden Centraal, stationCode, Ledn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ledn
Context triple: [Leiden Centraal, stationCode, Ledn]
  • A. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • D. 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.
  • E. LEVD
    LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
  • 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: Ledn
Triple: [Leiden Centraal, stationCode, Ledn]
Generated description
Ledn is the official station code used to identify Leiden Centraal railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ledn
Target entity description: Ledn is the official station code used to identify Leiden Centraal railway station in the Netherlands.
  • A. Leens
    Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
  • B. Le
    Le is a common Vietnamese surname shared by many notable figures in the country’s history and culture.
  • C. 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.
  • D. LYD
    LYD is the ISO 4217 currency code for the Libyan dinar, the official currency of Libya.
  • E. LEVD
    LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
  • 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_69aed9585e788190bec2d39deba3750f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa5de98c8190a95b21a75fffdef3 completed March 9, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c61bad48190a5115dbd4a3457d6 completed March 14, 2026, 11:54 a.m.
NEDg Description generation batch_69b54cf3da208190aa844c9ea66354fe completed March 14, 2026, 11:56 a.m.
NED2 Entity disambiguation (via description) batch_69b55159dc288190a63d5f5164b73bbb completed March 14, 2026, 12:15 p.m.
Created at: March 9, 2026, 3:34 p.m.