Triple

T11854179
Position Surface form Disambiguated ID Type / Status
Subject Erfurt E281989 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object EF
EF is the vehicle registration code used on license plates for the German city of Erfurt.
E948968 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: EF | Statement: [Erfurt, vehicleRegistrationCode, EF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EF
Context triple: [Erfurt, vehicleRegistrationCode, EF]
  • A. EF
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • B. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • C. FF
    FF is the common abbreviation for Fianna Fáil, a major centrist to centre-right political party in Ireland that has played a dominant role in the country’s politics since the 20th century.
  • D. FF
    FF is the common fandom abbreviation for "FlashForward," a science fiction TV series centered on a mysterious global blackout that reveals people's future visions.
  • E. FEF
    FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
  • 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: EF
Triple: [Erfurt, vehicleRegistrationCode, EF]
Generated description
EF is the vehicle registration code used on license plates for the German city of Erfurt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EF
Target entity description: EF is the vehicle registration code used on license plates for the German city of Erfurt.
  • A. EF
    EF is the commonly used abbreviation for the Eclipse Foundation, a nonprofit organization that oversees open-source software projects and the Eclipse IDE ecosystem.
  • B. EFRO
    EFRO is the ICAO airport code for Rovaniemi Air Base in Finland, which serves both military and civilian air traffic near the Arctic Circle.
  • C. FF
    FF is the common abbreviation for Fianna Fáil, a major centrist to centre-right political party in Ireland that has played a dominant role in the country’s politics since the 20th century.
  • D. FF
    FF is the common fandom abbreviation for "FlashForward," a science fiction TV series centered on a mysterious global blackout that reveals people's future visions.
  • E. FEF
    FEF is the commonly used abbreviation for the Ecuadorian Football Federation, the governing body of football in Ecuador.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167c9d4e88190bfaadada0450e639 completed April 29, 2026, 2:07 a.m.
NEDg Description generation batch_69f17006e6108190b51b20ddf6d2368c completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17819af5c8190a98db3cd8eff8da2 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.