Triple
T7369696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vesdre |
E169963
|
entity |
| Predicate | hasLeftTributary |
P415
|
FINISHED |
| Object |
Helle
Helle is a small river in eastern Belgium that serves as a left-bank tributary of the Vesdre.
|
E660127
|
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: Helle | Statement: [Vesdre, hasLeftTributary, Helle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helle Context triple: [Vesdre, hasLeftTributary, Helle]
-
A.
Helle
Helle is a figure from Greek mythology, known as the daughter of Athamas who fell into the sea during her flight on the golden ram, giving her name to the Hellespont.
-
B.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
C.
Helietta
Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
-
D.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
E.
Himmela
Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
- 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: Helle Triple: [Vesdre, hasLeftTributary, Helle]
Generated description
Helle is a small river in eastern Belgium that serves as a left-bank tributary of the Vesdre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helle Target entity description: Helle is a small river in eastern Belgium that serves as a left-bank tributary of the Vesdre.
-
A.
Helle
Helle is a figure from Greek mythology, known as the daughter of Athamas who fell into the sea during her flight on the golden ram, giving her name to the Hellespont.
-
B.
Hyllus
Hyllus is a figure in Greek mythology known as the son of Heracles and Deianira, often associated with the Dorian invasion and the Heracleidae.
-
C.
Helietta
Helietta is a small genus of flowering plants in the citrus family Rutaceae, comprising mostly Neotropical trees and shrubs known for their aromatic properties.
-
D.
Hollein
Hollein is a German-language surname most prominently associated with Austrian architects Hans Hollein and his son Max Hollein, a leading museum director.
-
E.
Himmela
Himmela is the traditional backstage musical ensemble in Yakshagana theatre, providing the rhythmic and melodic foundation for the performance.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1810668819094aec4b237d08068 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c3a4788190850294b054b9c928 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803baa4d48190941174246f533399 |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80457cca08190a392b4efaa50a3f4 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.