Triple

T1540434
Position Surface form Disambiguated ID Type / Status
Subject Görlitz E32852 entity
Predicate nickname P55 FINISHED
Object Görliwood
Görliwood is the popular nickname for the German city of Görlitz, known as a frequent filming location for international movies and TV productions.
 E176712 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: Görliwood | Statement: [Görlitz, nickname, Görliwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Görliwood
Context triple: [Görlitz, nickname, Görliwood]
  • A. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Langon
    Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • E. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • 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: Görliwood
Triple: [Görlitz, nickname, Görliwood]
Generated description
Görliwood is the popular nickname for the German city of Görlitz, known as a frequent filming location for international movies and TV productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Görliwood
Target entity description: Görliwood is the popular nickname for the German city of Görlitz, known as a frequent filming location for international movies and TV productions.
  • A. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • B. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Langon
    Langon is a commune in southwestern France’s Gironde department, known as a local center for wine production and river trade along the Garonne.
  • E. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9083c942481909168394b6674d82b completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30997d408190916f16d31bcc35b4 completed March 8, 2026, 8:17 a.m.
NEDg Description generation batch_69ad31167b748190bbb73d7369570ada completed March 8, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_69ad31b5ce308190ba34123a4c8b8188 completed March 8, 2026, 8:22 a.m.
Created at: March 4, 2026, 7:26 p.m.