Triple

T7503700
Position Surface form Disambiguated ID Type / Status
Subject Veghel E177331 entity
Predicate hasIndustrialArea P40 FINISHED
Object De Amert
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
E668324 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 Amert | Statement: [Veghel, hasIndustrialArea, De Amert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Amert
Context triple: [Veghel, hasIndustrialArea, De Amert]
  • A. La Riposa
    La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
  • B. Brazo de la Tristeza
    Brazo de la Tristeza is a scenic, narrow western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its deep waters, surrounding Andean forests, and views of nearby peaks.
  • C. El Pecho
    El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
  • D. Eminado
    Eminado is a popular Afrobeat song by Nigerian singer Tiwa Savage, known for its catchy melody and romantic lyrics.
  • E. La Soif
    La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
  • 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 Amert
Triple: [Veghel, hasIndustrialArea, De Amert]
Generated description
De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Amert
Target entity description: De Amert is an industrial area in Veghel, Netherlands, known for hosting a variety of manufacturing and logistics businesses.
  • A. La Riposa
    La Riposa is a mountain refuge and common base for hikers ascending Rocciamelone in the Italian Alps.
  • B. Brazo de la Tristeza
    Brazo de la Tristeza is a scenic, narrow western arm of Nahuel Huapi Lake in Argentine Patagonia, known for its deep waters, surrounding Andean forests, and views of nearby peaks.
  • C. El Pecho
    El Pecho is a prominent summit of the Iztaccíhuatl volcano in central Mexico, recognizable as part of the mountain’s distinctive “sleeping woman” profile.
  • D. Eminado
    Eminado is a popular Afrobeat song by Nigerian singer Tiwa Savage, known for its catchy melody and romantic lyrics.
  • E. La Soif
    La Soif is the debut novel of Algerian writer Assia Djebar, exploring themes of female identity, desire, and colonial society in mid-20th-century Algeria.
  • 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.