Triple

T20481945
Position Surface form Disambiguated ID Type / Status
Subject Stuttgart Feuersee E502476 entity
Predicate hasStationCode P1289 FINISHED
Object TSF
TSF is the station code for Stuttgart Feuersee, a local rail stop in Stuttgart, Germany.
 E1434419 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: TSF | Statement: [Stuttgart Feuersee, hasStationCode, TSF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TSF
Context triple: [Stuttgart Feuersee, hasStationCode, TSF]
  • A. TSFSR
    TSFSR is the abbreviation for the Transcaucasian Socialist Federative Soviet Republic, a former Soviet republic that united Armenia, Azerbaijan, and Georgia in the early years of the USSR.
  • B. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • C. TS
    TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
  • D. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • E. TS
    TS is a postcode area in northeastern England covering parts of Teesside, including towns such as Stockton-on-Tees and Middlesbrough.
  • 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: TSF
Triple: [Stuttgart Feuersee, hasStationCode, TSF]
Generated description
TSF is the station code for Stuttgart Feuersee, a local rail stop in Stuttgart, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TSF
Target entity description: TSF is the station code for Stuttgart Feuersee, a local rail stop in Stuttgart, Germany.
  • A. TSFSR
    TSFSR is the abbreviation for the Transcaucasian Socialist Federative Soviet Republic, a former Soviet republic that united Armenia, Azerbaijan, and Georgia in the early years of the USSR.
  • B. TS
    TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
  • C. TS
    TS is the vehicle registration code used on license plates for the Province of Trieste in northeastern Italy.
  • D. TS
    TS is the IATA airline designator assigned to Air Transat, a Canadian leisure airline based in Montreal.
  • E. TS
    TS is the common abbreviation for Windows Terminal Services, Microsoft’s legacy remote desktop and application virtualization technology for Windows servers.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b57fa9c819091d12320d46a0cee completed April 20, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893ae04f481908da8206dfba0b463 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894c4c8b88190b2ac594477811c7b completed May 16, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08954be2688190a51911d6922a6413 completed May 16, 2026, 4:03 p.m.
Created at: April 16, 2026, 11:34 a.m.