Triple

T5668554
Position Surface form Disambiguated ID Type / Status
Subject Regnitz E124915 entity
Predicate hasLeftTributary P415 FINISHED
Object Zenn
Zenn is a river in Bavaria, Germany, that flows through the Franconian region before joining the Regnitz.
E535594 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: Zenn | Statement: [Regnitz, hasLeftTributary, Zenn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zenn
Context triple: [Regnitz, hasLeftTributary, Zenn]
  • A. ZEN
    ZEN is the stock ticker symbol for Zendesk, a customer service and engagement software company.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • D. Buzen
    Buzen is a small coastal city in eastern Fukuoka Prefecture on Japan’s Kyushu island, known for its rural character and scenic seaside setting.
  • E. Gotemba
    Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
  • 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: Zenn
Triple: [Regnitz, hasLeftTributary, Zenn]
Generated description
Zenn is a river in Bavaria, Germany, that flows through the Franconian region before joining the Regnitz.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zenn
Target entity description: Zenn is a river in Bavaria, Germany, that flows through the Franconian region before joining the Regnitz.
  • A. ZEN
    ZEN is the stock ticker symbol for Zendesk, a customer service and engagement software company.
  • B. Zezuru
    Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
  • C. Zan
    Zan is a collective term for a group of closely related Kartvelian languages spoken primarily in western Georgia, including Mingrelian and Laz.
  • D. Buzen
    Buzen is a small coastal city in eastern Fukuoka Prefecture on Japan’s Kyushu island, known for its rural character and scenic seaside setting.
  • E. Gotemba
    Gotemba is a Japanese city in Shizuoka Prefecture known as a gateway to Mount Fuji and a popular base for outdoor activities and outlet shopping.
  • 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023471f688190acec330596238a50 completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04dafb6b081909c5bf1527f185819 completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04ee03d1c819096a5acf0358165c1 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04ffb0fb8819080dff2a9ec6eacb4 completed March 22, 2026, 8:24 p.m.
Created at: March 22, 2026, 3:43 p.m.