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.