Triple

T17215640
Position Surface form Disambiguated ID Type / Status
Subject Enkhuizen E417844 entity
Predicate hasNotableCompany P19182 FINISHED
Object Enza Zaden
Enza Zaden is a Dutch vegetable breeding and seed company known for developing and supplying high-quality vegetable varieties worldwide.
E1258261 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: Enza Zaden | Statement: [Enkhuizen, hasNotableCompany, Enza Zaden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enza Zaden
Context triple: [Enkhuizen, hasNotableCompany, Enza Zaden]
  • A. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • B. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • C. Zannone
    Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
  • D. Zanelli
    Zanelli is an Italian-origin surname borne by various individuals, including contemporary figures such as composer Geoff Zanelli.
  • E. Frescati Hage
    Frescati Hage is a historic garden and park area in the Frescati district of Stockholm, Sweden, known for its landscaped greenery and cultural heritage.
  • 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: Enza Zaden
Triple: [Enkhuizen, hasNotableCompany, Enza Zaden]
Generated description
Enza Zaden is a Dutch vegetable breeding and seed company known for developing and supplying high-quality vegetable varieties worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Enza Zaden
Target entity description: Enza Zaden is a Dutch vegetable breeding and seed company known for developing and supplying high-quality vegetable varieties worldwide.
  • A. Zanetto
    Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
  • B. Ventris
    Ventris is the surname of Michael Ventris, the British architect and linguist renowned for deciphering the ancient script Linear B.
  • C. Zannone
    Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
  • D. Zanelli
    Zanelli is an Italian-origin surname borne by various individuals, including contemporary figures such as composer Geoff Zanelli.
  • E. Frescati Hage
    Frescati Hage is a historic garden and park area in the Frescati district of Stockholm, Sweden, known for its landscaped greenery and cultural heritage.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc9f96881909eb86786a76e17e4 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675381a0819094ed04eac636440b completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016b8609dc8190bfd3e1b6ff715d65 completed May 11, 2026, 5:39 a.m.
NED2 Entity disambiguation (via description) batch_6a016c5018e48190974c124c3433bcc6 completed May 11, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:38 a.m.