Triple
T16340768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regen River |
E396794
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
White Regen
White Regen is a river in the Bavarian Forest region of Germany that serves as a significant headstream of the Regen River.
|
E1206623
|
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: White Regen | Statement: [Regen River, hasTributary, White Regen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: White Regen Context triple: [Regen River, hasTributary, White Regen]
-
A.
Neon White
Neon White is a fast-paced first-person action platformer that blends speedrunning, card-based combat, and a stylish anime-inspired narrative about assassins in Heaven.
-
B.
Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
-
C.
Branco
Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
-
D.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
E.
The White-Blues
The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
- 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: White Regen Triple: [Regen River, hasTributary, White Regen]
Generated description
White Regen is a river in the Bavarian Forest region of Germany that serves as a significant headstream of the Regen River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: White Regen Target entity description: White Regen is a river in the Bavarian Forest region of Germany that serves as a significant headstream of the Regen River.
-
A.
Neon White
Neon White is a fast-paced first-person action platformer that blends speedrunning, card-based combat, and a stylish anime-inspired narrative about assassins in Heaven.
-
B.
Бяла
Бяла is a small Bulgarian town known for its location near the Black Sea coast and its mix of historical and seaside tourism attractions.
-
C.
Branco
Branco is a Portuguese surname borne by various notable figures, including architects, artists, and public personalities.
-
D.
The White One
The White One is an epithet of Nekhbet, the ancient Egyptian vulture goddess who served as a protector of Upper Egypt and the pharaoh.
-
E.
The White-Blues
The White-Blues is the traditional nickname of FC Dynamo Kyiv, one of Ukraine’s most successful and historically significant football clubs.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026c9b5c481908f60d2ebfb3f71d7 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00273dd8fc8190b84b8a96442781ee |
completed | May 10, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.