Triple
T13301040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valle del Lozoya |
E316810
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Canencia
Canencia is a small rural municipality in the Sierra Norte of the Community of Madrid, Spain, known for its mountainous landscapes and traditional village character.
|
E1031935
|
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: Canencia | Statement: [Valle del Lozoya, hasSettlement, Canencia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canencia Context triple: [Valle del Lozoya, hasSettlement, Canencia]
-
A.
Cosentia
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
-
B.
Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
-
C.
Calbe
Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
-
D.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
E.
Casnedo
Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
- 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: Canencia Triple: [Valle del Lozoya, hasSettlement, Canencia]
Generated description
Canencia is a small rural municipality in the Sierra Norte of the Community of Madrid, Spain, known for its mountainous landscapes and traditional village character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Canencia Target entity description: Canencia is a small rural municipality in the Sierra Norte of the Community of Madrid, Spain, known for its mountainous landscapes and traditional village character.
-
A.
Cosentia
Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
-
B.
Cambadélis
Cambadélis is the surname of Jean-Christophe Cambadélis, a French politician and former First Secretary of the Socialist Party.
-
C.
Calbe
Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
-
D.
Ventanarosa
Ventanarosa is a film and television production company founded by Salma Hayek, known for producing culturally rich, often Latinx-focused projects.
-
E.
Casnedo
Casnedo is a small locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, Italy.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a43ed88190a8dbbbd7d6d62dc4 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716df8c2c8190bd17b47848546271 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7177f2270819098426a269032ea1c |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:28 p.m.