Triple

T16971863
Position Surface form Disambiguated ID Type / Status
Subject Waldsassen E411703 entity
Predicate hasNearbyCity P350 FINISHED
Object Cheb (Eger)
Cheb (Eger) is a historic town in the Karlovy Vary Region of the Czech Republic, known for its well-preserved medieval center and strategic location near the German border.
E1243163 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: Cheb (Eger) | Statement: [Waldsassen, hasNearbyCity, Cheb (Eger)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheb (Eger)
Context triple: [Waldsassen, hasNearbyCity, Cheb (Eger)]
  • A. Komárom
    Komárom is a Hungarian town on the Danube River known for its historic fortifications and its twin-city relationship with Komárno in Slovakia.
  • B. Hradčanská
    Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
  • C. Prachatice
    Prachatice is a historic town in the Czech Republic known for its well-preserved medieval center and former importance as a stop on the Golden Salt Trade Route.
  • D. Chýnov
    Chýnov is a small historic town in the South Bohemian Region of the Czech Republic, known for the nearby Chýnov Cave and its traditional architecture.
  • E. Belá
    Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
  • 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: Cheb (Eger)
Triple: [Waldsassen, hasNearbyCity, Cheb (Eger)]
Generated description
Cheb (Eger) is a historic town in the Karlovy Vary Region of the Czech Republic, known for its well-preserved medieval center and strategic location near the German border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cheb (Eger)
Target entity description: Cheb (Eger) is a historic town in the Karlovy Vary Region of the Czech Republic, known for its well-preserved medieval center and strategic location near the German border.
  • A. Komárom
    Komárom is a Hungarian town on the Danube River known for its historic fortifications and its twin-city relationship with Komárno in Slovakia.
  • B. Hradčanská
    Hradčanská is a Prague Metro station on Line A located near Prague Castle in the Hradčany district.
  • C. Prachatice
    Prachatice is a historic town in the Czech Republic known for its well-preserved medieval center and former importance as a stop on the Golden Salt Trade Route.
  • D. Chýnov
    Chýnov is a small historic town in the South Bohemian Region of the Czech Republic, known for the nearby Chýnov Cave and its traditional architecture.
  • E. Belá
    Belá is a mountain river in northern Slovakia known for its clear waters, dynamic flow, and popularity among whitewater enthusiasts.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0ad04ac81909a11b45be567613a completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d471d4248190acf40b6c11926a65 completed May 10, 2026, 6:54 p.m.
NEDg Description generation batch_6a00d503f4f08190a0dcdb050d5bc7a3 completed May 10, 2026, 6:57 p.m.
NED2 Entity disambiguation (via description) batch_6a00d5adee908190a13bfc765e7c8f06 completed May 10, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:31 a.m.