Triple
T184584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange |
E3952
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object |
Eygues
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
|
E29214
|
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: Eygues | Statement: [Orange, river, Eygues]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eygues Context triple: [Orange, river, Eygues]
-
A.
Arles
Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
-
B.
Vaux
Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
-
C.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
D.
Anjou
Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
-
E.
Gagny
Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
- 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: Eygues Triple: [Orange, river, Eygues]
Generated description
Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eygues Target entity description: Eygues is a river in southeastern France that flows through the Drôme department before joining the larger Rhône basin.
-
A.
Arles
Arles is a historic city in southern France renowned for its well-preserved Roman monuments and its association with the painter Vincent van Gogh.
-
B.
Vaux
Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
-
C.
Satigny
Satigny is a Swiss municipality in the canton of Geneva, known for being one of the country’s largest wine-producing communes.
-
D.
Anjou
Anjou is a historic region in western France that was once a powerful medieval county and later a duchy, playing a central role in the Angevin Empire and European dynastic politics.
-
E.
Gagny
Gagny is a suburban commune in the eastern outskirts of Paris, France, known primarily as a residential town within the Seine-Saint-Denis department.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2592867108190b5d316c055575449 |
completed | Feb. 28, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35b61bdfc8190a399f0b4f09672ab |
completed | Feb. 28, 2026, 9:17 p.m. |
| NEDg | Description generation | batch_69a35bda2f2881908451ac1861bc5e22 |
completed | Feb. 28, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a35c7340d08190bdf142d265369af5 |
completed | Feb. 28, 2026, 9:21 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.