Triple

T7503713
Position Surface form Disambiguated ID Type / Status
Subject Veghel E177331 entity
Predicate twinTown P1072 FINISHED
Object Goch
Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
 E668331 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: Goch | Statement: [Veghel, twinTown, Goch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Goch
Context triple: [Veghel, twinTown, Goch]
  • A. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • B. Gaomi
    Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
  • C. Balgüe
    Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
  • D. Ghindae
    Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
  • E. Seochon
    Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
  • 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: Goch
Triple: [Veghel, twinTown, Goch]
Generated description
Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Goch
Target entity description: Goch is a small historic town in western Germany’s Lower Rhine region, near the Dutch border.
  • A. Goyang
    Goyang is a major satellite city northwest of Seoul in South Korea, known for its rapid urban development, residential districts, and cultural attractions such as Ilsan Lake Park and KINTEX.
  • B. Gaomi
    Gaomi is a county-level city in eastern China's Shandong province, known as the hometown of Nobel Prize–winning author Mo Yan and for its agricultural and light industrial economy.
  • C. Balgüe
    Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
  • D. Ghindae
    Ghindae is a town in Eritrea located within the Northern Red Sea administrative region.
  • E. Seochon
    Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b32c708190bb3a92d0d949304a completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9953e88190a1e0e899f2ddf822 completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83defe434819086bf6d63c8f2675e completed March 28, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69c83e531ea881909b6186de9adbccc0 completed March 28, 2026, 8:47 p.m.
Created at: March 27, 2026, 3:44 p.m.