Triple
T17471181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denia |
E425416
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
Les Rotes
Les Rotes is a rocky coastal area near Dénia, Spain, known for its scenic coves, clear waters, and popular snorkeling and diving spots.
|
E1270002
|
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: Les Rotes | Statement: [Denia, hasBeach, Les Rotes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Les Rotes Context triple: [Denia, hasBeach, Les Rotes]
-
A.
La Redole
La Redole is a waterfall located in the commune of Gimel-les-Cascades in central France, known as part of the area's scenic cascade system.
-
B.
The Red
"The Red" is a song by American rapper and producer J Dilla (then known as Jay Dee), featured on his influential debut solo album "Welcome 2 Detroit."
-
C.
Die Roten
Die Roten is the German nickname for VfB Stuttgart, a professional football club known for its red home colors and success in the Bundesliga.
-
D.
Die Roten
Die Roten is the German nickname for Hannover 96, a professional football club based in Hanover that traditionally plays in red.
-
E.
Rot an der Rot
Rot an der Rot is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic monastery and rural setting.
- 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: Les Rotes Triple: [Denia, hasBeach, Les Rotes]
Generated description
Les Rotes is a rocky coastal area near Dénia, Spain, known for its scenic coves, clear waters, and popular snorkeling and diving spots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Les Rotes Target entity description: Les Rotes is a rocky coastal area near Dénia, Spain, known for its scenic coves, clear waters, and popular snorkeling and diving spots.
-
A.
La Redole
La Redole is a waterfall located in the commune of Gimel-les-Cascades in central France, known as part of the area's scenic cascade system.
-
B.
The Red
"The Red" is a song by American rapper and producer J Dilla (then known as Jay Dee), featured on his influential debut solo album "Welcome 2 Detroit."
-
C.
Die Roten
Die Roten is the German nickname for VfB Stuttgart, a professional football club known for its red home colors and success in the Bundesliga.
-
D.
Die Roten
Die Roten is the German nickname for Hannover 96, a professional football club based in Hanover that traditionally plays in red.
-
E.
Rot an der Rot
Rot an der Rot is a small municipality in the district of Biberach in the German state of Baden-Württemberg, known for its historic monastery and rural setting.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451abab908190b6d9d8a64f7c2ea3 |
completed | April 19, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b8298508819095187901040ffd56 |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8969e5481909a073d5ee93b8114 |
completed | May 11, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b8ff178c8190a79c3303eae04171 |
completed | May 11, 2026, 11:09 a.m. |
Created at: April 10, 2026, 5:47 a.m.