Triple

T8314535
Position Surface form Disambiguated ID Type / Status
Subject Trizone E194673 entity
Predicate hasPart P35 FINISHED
Object Bizone
Bizone was the post–World War II administrative union of the American and British occupation zones in western Germany, which later formed the core of the Federal Republic of Germany.
 E725524 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: Bizone | Statement: [Trizone, hasPart, Bizone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bizone
Context triple: [Trizone, hasPart, Bizone]
  • A. Vietnow
    "Vietnow" is a politically charged song by Rage Against the Machine, known for its critique of right-wing media and U.S. foreign policy.
  • B. Zfone
    Zfone is a software application that provides end-to-end encrypted voice communication over IP networks using the ZRTP protocol.
  • C. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • D. Bit-Zamani
    Bit-Zamani was an ancient Aramean kingdom in northern Mesopotamia, known from early first-millennium BCE Assyrian sources.
  • E. Trizone
    Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
  • 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: Bizone
Triple: [Trizone, hasPart, Bizone]
Generated description
Bizone was the post–World War II administrative union of the American and British occupation zones in western Germany, which later formed the core of the Federal Republic of Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bizone
Target entity description: Bizone was the post–World War II administrative union of the American and British occupation zones in western Germany, which later formed the core of the Federal Republic of Germany.
  • A. Vietnow
    "Vietnow" is a politically charged song by Rage Against the Machine, known for its critique of right-wing media and U.S. foreign policy.
  • B. Zfone
    Zfone is a software application that provides end-to-end encrypted voice communication over IP networks using the ZRTP protocol.
  • C. Bango
    Bango is the energetic deer mascot of the NBA's Milwaukee Bucks, known for his acrobatic dunks and fan entertainment during games.
  • D. Bit-Zamani
    Bit-Zamani was an ancient Aramean kingdom in northern Mesopotamia, known from early first-millennium BCE Assyrian sources.
  • E. Trizone
    Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f52c5cc8190b5a95ee0aa4ddda5 completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9583fa8081909778288f4c96de72 completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cdab5d649c819098a7643d5a0b7827 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2c2e2248190bf52466abaebfe29 completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:55 p.m.