Triple

T5720641
Position Surface form Disambiguated ID Type / Status
Subject Waterland E126134 entity
Predicate containsSettlement P847 FINISHED
Object Zedde
Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
 E540341 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: Zedde | Statement: [Waterland, containsSettlement, Zedde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zedde
Context triple: [Waterland, containsSettlement, Zedde]
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Dieze
    The Dieze is a river in the southern Netherlands that flows through the city of ’s-Hertogenbosch and ultimately drains into the Dommel and Aa river system.
  • E. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • 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: Zedde
Triple: [Waterland, containsSettlement, Zedde]
Generated description
Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zedde
Target entity description: Zedde is a small settlement located in the Dutch municipality of Waterland in the province of North Holland.
  • A. Zardoz
    Zardoz is a 1974 science fiction film directed by John Boorman, known for its surreal, dystopian vision and starring Sean Connery in one of his most unconventional roles.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • D. Dieze
    The Dieze is a river in the southern Netherlands that flows through the city of ’s-Hertogenbosch and ultimately drains into the Dommel and Aa river system.
  • E. Zed
    Zed is the stern, no-nonsense head of the secret government agency overseeing extraterrestrial activity in the "Men in Black" film series.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e328e08190a67e845b296e34e9 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a7db0788190b4a5e7b5d9c94588 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05b7c3bd48190ad8303bf1bb3ec6a completed March 22, 2026, 9:13 p.m.
NED2 Entity disambiguation (via description) batch_69c05c22c31081909a9a67d99e7c728c completed March 22, 2026, 9:16 p.m.
Created at: March 22, 2026, 3:46 p.m.