Triple

T7507270
Position Surface form Disambiguated ID Type / Status
Subject Ede-Wageningen railway station E177421 entity
Predicate hasStationCode P1289 FINISHED
Object ED
ED is the official station code for Ede-Wageningen railway station in the Netherlands.
 E668916 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: ED | Statement: [Ede-Wageningen railway station, hasStationCode, ED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ED
Context triple: [Ede-Wageningen railway station, hasStationCode, ED]
  • A. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • B. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • C. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • D. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • E. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • 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: ED
Triple: [Ede-Wageningen railway station, hasStationCode, ED]
Generated description
ED is the official station code for Ede-Wageningen railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ED
Target entity description: ED is the official station code for Ede-Wageningen railway station in the Netherlands.
  • A. ED
    ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
  • B. ED
    ED is a classic line-based text editor commonly used in Unix-like operating systems, known for its minimal interface and suitability for scripting and low-resource environments.
  • C. ED
    ED is the standard abbreviation for the Eredivisie, the top professional football league in the Netherlands.
  • D. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • E. EC
    EC is the commonly used abbreviation for the Election Commission of Bangladesh, the constitutional body responsible for overseeing and conducting elections in the country.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83ca243288190bb253f4d91701407 completed March 28, 2026, 8:40 p.m.
NEDg Description generation batch_69c83d5884a88190a22c0fb54f9731c7 completed March 28, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_69c84071abb88190a2dadd57ff088f3d completed March 28, 2026, 8:56 p.m.
Created at: March 27, 2026, 3:45 p.m.