Triple
T7606240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roer |
E180110
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Wurm
Wurm is a small river in western Germany that flows through North Rhine-Westphalia before joining the Roer.
|
E676769
|
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: Wurm | Statement: [Roer, hasTributary, Wurm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wurm Context triple: [Roer, hasTributary, Wurm]
-
A.
Worm
Worm is a charismatic, wisecracking high school basketball player and member of Coach Carter’s team in the 2005 sports drama film "Coach Carter."
-
B.
Superworm
Superworm is a popular children's picture book written by Julia Donaldson and illustrated by Axel Scheffler, featuring a heroic worm who helps other animals with his extraordinary abilities.
-
C.
Wolmido
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
-
D.
Wormerland
Wormerland is a municipality in the Dutch province of North Holland, known for its peat meadow landscapes and villages north of Amsterdam.
-
E.
Grey Worm
Grey Worm is a disciplined and fiercely loyal commander of the Unsullied, serving Daenerys Targaryen in the world of A Song of Ice and Fire.
- 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: Wurm Triple: [Roer, hasTributary, Wurm]
Generated description
Wurm is a small river in western Germany that flows through North Rhine-Westphalia before joining the Roer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wurm Target entity description: Wurm is a small river in western Germany that flows through North Rhine-Westphalia before joining the Roer.
-
A.
Worm
Worm is a charismatic, wisecracking high school basketball player and member of Coach Carter’s team in the 2005 sports drama film "Coach Carter."
-
B.
Superworm
Superworm is a popular children's picture book written by Julia Donaldson and illustrated by Axel Scheffler, featuring a heroic worm who helps other animals with his extraordinary abilities.
-
C.
Wolmido
Wolmido is a small island and popular seaside leisure destination near Incheon, South Korea, known for its waterfront park, amusement facilities, and coastal views.
-
D.
Wormerland
Wormerland is a municipality in the Dutch province of North Holland, known for its peat meadow landscapes and villages north of Amsterdam.
-
E.
Grey Worm
Grey Worm is a disciplined and fiercely loyal commander of the Unsullied, serving Daenerys Targaryen in the world of A Song of Ice and Fire.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fe10408190b1c12bb8f911cea8 |
completed | March 27, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86857db14819086d5ebd825d30e77 |
completed | March 28, 2026, 11:46 p.m. |
| NEDg | Description generation | batch_69c86a12e1f08190ab214f4e95e986db |
completed | March 28, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86a5b6f188190aafbf2e9fcb8b972 |
completed | March 28, 2026, 11:55 p.m. |
Created at: March 27, 2026, 3:54 p.m.