Triple

T3933029
Position Surface form Disambiguated ID Type / Status
Subject Leiden Lammenschans E90838 entity
Predicate hasStationCode P1289 FINISHED
Object Ldl
Ldl is the official station code for Leiden Lammenschans railway station in the Netherlands.
 E399618 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: Ldl | Statement: [Leiden Lammenschans, hasStationCode, Ldl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ldl
Context triple: [Leiden Lammenschans, hasStationCode, Ldl]
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • E. LDV
    LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
  • 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: Ldl
Triple: [Leiden Lammenschans, hasStationCode, Ldl]
Generated description
Ldl is the official station code for Leiden Lammenschans railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ldl
Target entity description: Ldl is the official station code for Leiden Lammenschans railway station in the Netherlands.
  • A. LD
    LD is the IATA airline designator assigned to Air Hong Kong, a cargo airline based in Hong Kong.
  • B. LAD
    LAD is the standard three-letter abbreviation used for the Los Angeles Dodgers Major League Baseball team.
  • C. LAD
    LAD is the commonly used abbreviation for the Laboratory Astrophysics Division, a professional group focused on the study of astrophysical processes through laboratory-based research.
  • D. LDF
    LDF is a prominent U.S. civil rights law organization that litigates and advocates to advance racial justice and equality, particularly for African Americans.
  • E. LDV
    LDV was a British commercial vehicle manufacturer best known for producing vans and minibuses, particularly for business and fleet use.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcab1808190bf653f29062cdddb completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52887d4a48190b51df3f51ff197c0 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b529a1486881908ff348558199232b completed March 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_69b52a43c6f081908366d9848728f98a completed March 14, 2026, 9:28 a.m.
Created at: March 9, 2026, 3:23 p.m.