Triple

T1135036
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsCity P294 FINISHED
Object Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
 E131039 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: Oss | Statement: [North Brabant, containsCity, Oss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oss
Context triple: [North Brabant, containsCity, Oss]
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • C. Den Osse
    Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
  • D. Oksskolten
    Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
  • E. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • 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: Oss
Triple: [North Brabant, containsCity, Oss]
Generated description
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oss
Target entity description: Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
  • A. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • B. Oker
    The Oker is a river in central Germany that flows northward from the Harz Mountains through Lower Saxony before joining the Aller.
  • C. Den Osse
    Den Osse is a small Dutch coastal village and marina resort on the Grevelingenmeer, known for water sports, diving, and recreational tourism.
  • D. Oksskolten
    Oksskolten is the highest mountain in Northern Norway, known for its prominent peak in the Okstindan range.
  • E. Ösel
    Ösel is the historical German and Swedish name for Saaremaa, the largest island of Estonia in the Baltic Sea.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bbfffaa48190b2534ff4da3544ce completed March 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ac2ea881908b9559ff9d47077a completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a38ebb0819091cb81e23770ae50 completed March 7, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_69ac5aa2ad188190b4c6a29e3c2c8d79 completed March 7, 2026, 5:04 p.m.
Created at: March 1, 2026, 7:44 p.m.