Triple

T6551995
Position Surface form Disambiguated ID Type / Status
Subject Ahaus station E151150 entity
Predicate hasStationCode P1289 FINISHED
Object EAHS
EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
 E604621 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: EAHS | Statement: [Ahaus station, hasStationCode, EAHS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EAHS
Context triple: [Ahaus station, hasStationCode, EAHS]
  • A. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • B. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • C. SHS State
    SHS State refers to the short-lived South Slavic state formed in 1918 that united Slovenes, Croats, and Serbs before merging into the Kingdom of Serbs, Croats and Slovenes (later Yugoslavia).
  • D. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • E. FHS
    FHS is the Norwegian Defence University College, Norway’s primary institution for higher military education and research.
  • 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: EAHS
Triple: [Ahaus station, hasStationCode, EAHS]
Generated description
EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EAHS
Target entity description: EAHS is the railway station code used to identify Ahaus station in Germany’s rail network.
  • A. AHS
    AHS is the College of Applied Health Sciences at the University of Illinois Urbana–Champaign, focusing on education and research in health, rehabilitation, and human performance.
  • B. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • C. SHS State
    SHS State refers to the short-lived South Slavic state formed in 1918 that united Slovenes, Croats, and Serbs before merging into the Kingdom of Serbs, Croats and Slovenes (later Yugoslavia).
  • D. BHS
    BHS is a critical scholarly edition of the Hebrew Bible widely used in academic biblical studies and textual research.
  • E. FHS
    FHS is the Norwegian Defence University College, Norway’s primary institution for higher military education and research.
  • 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_69c687f3fd60819083bfa583e5bcfa71 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ae05cd988190a013226b14cd98f0 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d55416e48190b574e37a6f2e6690 completed March 27, 2026, 7:07 p.m.
NEDg Description generation batch_69c6d6acc2208190ac47c60bb896c1cd completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d83b53e48190881a3e1e8fa8b168 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:51 p.m.