Triple

T17812508
Position Surface form Disambiguated ID Type / Status
Subject Uzh River E444746 entity
Predicate nameLanguage P15 FINISHED
Object Ung (German)
Ung is the historical German name for the Uzh River, a waterway flowing through Ukraine and Slovakia.
E1289634 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: Ung (German) | Statement: [Uzh River, nameLanguage, Ung (German)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ung (German)
Context triple: [Uzh River, nameLanguage, Ung (German)]
  • A. Enz (German)
    Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
  • B. Sinn (German)
    Sinn (German) is the term used by philosopher Gottlob Frege to denote the "sense" or mode of presentation of a linguistic expression, distinguishing it from its reference (Bedeutung).
  • C. Schier (German)
    Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
  • D. Mutterzunge
    Mutterzunge is a semi-autobiographical collection of stories by Emine Sevgi Özdamar that explores themes of migration, language, and identity between Turkey and Germany.
  • E. Alemão
    Alemão is a former Brazilian midfielder best known for his influential role at Napoli in the late 1980s and early 1990s, where he helped the club achieve major European and domestic success.
  • 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: Ung (German)
Triple: [Uzh River, nameLanguage, Ung (German)]
Generated description
Ung is the historical German name for the Uzh River, a waterway flowing through Ukraine and Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ung (German)
Target entity description: Ung is the historical German name for the Uzh River, a waterway flowing through Ukraine and Slovakia.
  • A. Enz (German)
    Enz (German) is the German name for the Enz River, a tributary of the Neckar flowing through the city of Pforzheim in southwestern Germany.
  • B. Sinn (German)
    Sinn (German) is the term used by philosopher Gottlob Frege to denote the "sense" or mode of presentation of a linguistic expression, distinguishing it from its reference (Bedeutung).
  • C. Schier (German)
    Schier is the German name for the Chiers, a river in Western Europe that flows through Belgium, Luxembourg, and France.
  • D. Mutterzunge
    Mutterzunge is a semi-autobiographical collection of stories by Emine Sevgi Özdamar that explores themes of migration, language, and identity between Turkey and Germany.
  • E. Alemão
    Alemão is a former Brazilian midfielder best known for his influential role at Napoli in the late 1980s and early 1990s, where he helped the club achieve major European and domestic success.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4887c63608190b29a407cabff0bc5 completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6254308190837052cba58d45c8 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a0300aa8f2c8190adb9ed9ec63a9f9a completed May 12, 2026, 10:27 a.m.
NED2 Entity disambiguation (via description) batch_6a0301570f188190a330b2a9f5f45191 completed May 12, 2026, 10:30 a.m.
Created at: April 10, 2026, 10:14 a.m.