Triple

T3769355
Position Surface form Disambiguated ID Type / Status
Subject Unified Germany E82758 entity
Predicate ISO3166-1Alpha2 P189 FINISHED
Object DE
DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
 E386330 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: DE | Statement: [Unified Germany, ISO3166-1Alpha2, DE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DE
Context triple: [Unified Germany, ISO3166-1Alpha2, DE]
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. DE-SH
    DE-SH is the ISO 3166-2 subdivision code for the German federal state of Schleswig-Holstein.
  • C. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • D. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • E. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • 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: DE
Triple: [Unified Germany, ISO3166-1Alpha2, DE]
Generated description
DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DE
Target entity description: DE is the two-letter ISO 3166-1 alpha-2 country code representing Germany in international standards and systems.
  • A. Deutch
    Deutch is a surname most notably associated with John M. Deutch, an American chemist, academic, and former Director of Central Intelligence.
  • B. DE-SH
    DE-SH is the ISO 3166-2 subdivision code for the German federal state of Schleswig-Holstein.
  • C. Saksa
    Saksa is a prominent mountain in Norway’s Sunnmøre Alps, known for its steep ascent and panoramic views over the Hjørundfjord.
  • D. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • E. German
    German is a West Germanic language widely spoken in Central Europe and used as an official language in several countries, including Germany, Austria, Switzerland, and Luxembourg.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2d4b848190bf63fb3ed5d3b2d9 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e61c8dc881908e298528b1e42c0c completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:35 p.m.