Triple

T958499
Position Surface form Disambiguated ID Type / Status
Subject Land van Cuijk region E20677 entity
Predicate contains P35 FINISHED
Object Haps
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
 E113278 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: Haps | Statement: [Land van Cuijk region, contains, Haps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haps
Context triple: [Land van Cuijk region, contains, Haps]
  • A. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • B. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • C. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • D. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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: Haps
Triple: [Land van Cuijk region, contains, Haps]
Generated description
Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haps
Target entity description: Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • A. Hop
    Hop is a regional contactless transit fare system used for paying fares across multiple public transportation agencies in the Portland–Vancouver metropolitan area.
  • B. Havah
    Havah is a transliteration of the Hebrew name for Eve, the first woman in the biblical creation narrative.
  • C. Hama
    Hama is a major city in west-central Syria, historically known for its ancient waterwheels (norias) on the Orontes River and its role as an important agricultural and industrial center.
  • D. Hase
    The Hase is a river in northwestern Germany that flows through Lower Saxony and North Rhine-Westphalia, passing towns such as Quakenbrück before joining the Ems.
  • E. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • 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_69a493b21f2881908132dcf45dcd2f36 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3fc94ec8190b55c6cdf3a37d6b5 completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a212f08190ae2aad947226d09c completed March 7, 2026, 11:53 a.m.
NEDg Description generation batch_69ac131c23f08190bbdfba76728c8e9f completed March 7, 2026, 11:59 a.m.
NED2 Entity disambiguation (via description) batch_69ac139f1db48190968763d8ae34658d completed March 7, 2026, 12:01 p.m.
Created at: March 1, 2026, 7:40 p.m.