Triple
T7632624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teno Rural Park |
E172792
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Las Portelas
Las Portelas is a small rural settlement located within Tenerife’s Teno Rural Park in the Canary Islands, Spain.
|
E678833
|
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: Las Portelas | Statement: [Teno Rural Park, containsSettlement, Las Portelas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Portelas Context triple: [Teno Rural Park, containsSettlement, Las Portelas]
-
A.
Los Molinos
Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
-
B.
Malasaña
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
-
C.
Las Peñas
Las Peñas is a historic, colorful riverside neighborhood in Guayaquil, Ecuador, known for its colonial-era houses, art galleries, and panoramic views from the Santa Ana hill.
-
D.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
-
E.
de Perales
de Perales is a Spanish-language surname most notably associated with Cuban-American beautician and entrepreneur Mirta de Perales.
- 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: Las Portelas Triple: [Teno Rural Park, containsSettlement, Las Portelas]
Generated description
Las Portelas is a small rural settlement located within Tenerife’s Teno Rural Park in the Canary Islands, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Las Portelas Target entity description: Las Portelas is a small rural settlement located within Tenerife’s Teno Rural Park in the Canary Islands, Spain.
-
A.
Los Molinos
Los Molinos is a small unincorporated rural community in Northern California known for its agricultural surroundings and location in Tehama County.
-
B.
Malasaña
Malasaña is a vibrant central Madrid neighborhood known for its bohemian atmosphere, nightlife, and alternative cultural scene.
-
C.
Las Peñas
Las Peñas is a historic, colorful riverside neighborhood in Guayaquil, Ecuador, known for its colonial-era houses, art galleries, and panoramic views from the Santa Ana hill.
-
D.
El Carmen
El Carmen is a town in coastal Ecuador known as an agricultural and commercial center within Manabí Province.
-
E.
de Perales
de Perales is a Spanish-language surname most notably associated with Cuban-American beautician and entrepreneur Mirta de Perales.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa5f4f08190a7e5259a1b6fb576 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b95c1c8190a7d885bd0a534a6a |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c8723391f48190b60ba8952c9ccca7 |
completed | March 29, 2026, 12:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c87401aaa48190b3e44298fcd3f37f |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 3:57 p.m.