Triple

T1135080
Position Surface form Disambiguated ID Type / Status
Subject North Brabant E23119 entity
Predicate containsRiver P165 FINISHED
Object Aa
The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
E130655 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: Aa | Statement: [North Brabant, containsRiver, Aa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aa
Context triple: [North Brabant, containsRiver, Aa]
  • A. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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: Aa
Triple: [North Brabant, containsRiver, Aa]
Generated description
The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aa
Target entity description: The Aa is a small river in the Dutch province of North Brabant that flows through agricultural and rural landscapes before joining larger waterways.
  • A. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • B. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • C. AAA
    AAA was a New Deal-era U.S. government agency created to regulate agricultural production and stabilize farm prices during the Great Depression.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. A6
    A6 is a major German autobahn that serves as an important east–west transport corridor in southern Germany.
  • 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_69ac59ae5f20819093f8acc3ba7a6638 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5b5e2c688190a7d4998a3ed0f443 completed March 7, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69ac5bb6e78c8190a34ecbc246f72ff6 completed March 7, 2026, 5:09 p.m.
Created at: March 1, 2026, 7:44 p.m.