Triple

T12191741
Position Surface form Disambiguated ID Type / Status
Subject Stellingen station E290479 entity
Predicate hasStationCode P1289 FINISHED
Object ASTE
ASTE is the official station code used to identify Stellingen railway station in Hamburg, Germany.
 E970295 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: ASTE | Statement: [Stellingen station, hasStationCode, ASTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASTE
Context triple: [Stellingen station, hasStationCode, ASTE]
  • A. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • B. ASE
    ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
  • C. AVE
    AVE is Spain’s high-speed rail service, connecting major cities like Madrid and Barcelona with fast, long-distance trains.
  • D. AST
    AST is the National Rail station code for Aston railway station in Birmingham, England.
  • E. AST
    AST is the time zone used in several Middle Eastern countries, including Saudi Arabia, that is three hours ahead of Coordinated Universal Time (UTC+3).
  • 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: ASTE
Triple: [Stellingen station, hasStationCode, ASTE]
Generated description
ASTE is the official station code used to identify Stellingen railway station in Hamburg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASTE
Target entity description: ASTE is the official station code used to identify Stellingen railway station in Hamburg, Germany.
  • A. ATE
    ATE is a U.S. National Science Foundation program that supports the education and training of technicians for advanced technology fields through partnerships between two-year colleges, industry, and other educational institutions.
  • B. ASE
    ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
  • C. AVE
    AVE is Spain’s high-speed rail service, connecting major cities like Madrid and Barcelona with fast, long-distance trains.
  • D. AST
    AST is the National Rail station code for Aston railway station in Birmingham, England.
  • E. AST
    AST is the time zone used in several Middle Eastern countries, including Saudi Arabia, that is three hours ahead of Coordinated Universal Time (UTC+3).
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f60c9276d0819086b5f7712fe8d6e6 completed May 2, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69f60d4889d48190b2dfda8a0978cc72 completed May 2, 2026, 2:42 p.m.
Created at: April 8, 2026, 9:50 p.m.