Triple

T21557004
Position Surface form Disambiguated ID Type / Status
Subject Ennepetal (Gevelsberg) station E531918 entity
Predicate hasStationCode P1289 FINISHED
Object ENN
ENN is the station code for Ennepetal (Gevelsberg) railway station in North Rhine-Westphalia, Germany.
 E1490159 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: ENN | Statement: [Ennepetal (Gevelsberg) station, hasStationCode, ENN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ENN
Context triple: [Ennepetal (Gevelsberg) station, hasStationCode, ENN]
  • A. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • B. ENS
    ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
  • C. ENS
    ENS is the standard abbreviation for the junior commissioned officer rank of Ensign in the United States Coast Guard.
  • D. ENS
    ENS is the IATA airport code for Enschede Airport Twente in the Netherlands.
  • E. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • 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: ENN
Triple: [Ennepetal (Gevelsberg) station, hasStationCode, ENN]
Generated description
ENN is the station code for Ennepetal (Gevelsberg) railway station in North Rhine-Westphalia, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ENN
Target entity description: ENN is the station code for Ennepetal (Gevelsberg) railway station in North Rhine-Westphalia, Germany.
  • A. ENE
    ENE was the stock ticker symbol for Enron Corporation, the American energy company infamous for its massive accounting fraud and subsequent 2001 bankruptcy.
  • B. ENS
    ENS is a common abbreviation for the École Normale Supérieure, a prestigious French grande école known for its elite training in the sciences and humanities.
  • C. ENS
    ENS is the standard abbreviation for the junior commissioned officer rank of Ensign in the United States Coast Guard.
  • D. ENS
    ENS is the IATA airport code for Enschede Airport Twente in the Netherlands.
  • E. ENO
    ENO is a major London-based opera company known for performing operas in English and making the art form widely accessible.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e04b048190ac3a9913094b4625 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee7651081909a7d940d6fa38f4a completed May 17, 2026, 4:37 p.m.
NEDg Description generation batch_6a09efe751608190888089bd14b894da completed May 17, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a09f07a090c8190aead09c3b06e0e34 completed May 17, 2026, 4:44 p.m.
Created at: April 16, 2026, 6:29 p.m.