Triple
T14500662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa, Havana |
E359624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sierra, Havana
Sierra is a neighborhood (barrio) within the Playa municipality of Havana, Cuba.
|
E1104371
|
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: Sierra, Havana | Statement: [Playa, Havana, contains, Sierra, Havana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sierra, Havana Context triple: [Playa, Havana, contains, Sierra, Havana]
-
A.
Santa Fe, Havana
Santa Fe is a coastal neighborhood in the Playa municipality of Havana, Cuba, known for its seaside location and residential character.
-
B.
City of Havana
The City of Havana is the capital and largest city of Cuba, renowned for its historic architecture, vibrant cultural life, and significant political and economic role in the country.
-
C.
Habana Goya
Habana Goya is a graphics processing unit (GPU) architecture developed by Habana Labs, primarily designed to accelerate deep learning inference workloads in data centers.
-
D.
Havana
"Havana" is a Latin-influenced pop song by Cuban-American singer Camila Cabello that became an international hit and one of her signature tracks.
-
E.
La Vega
La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
- 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: Sierra, Havana Triple: [Playa, Havana, contains, Sierra, Havana]
Generated description
Sierra is a neighborhood (barrio) within the Playa municipality of Havana, Cuba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sierra, Havana Target entity description: Sierra is a neighborhood (barrio) within the Playa municipality of Havana, Cuba.
-
A.
Santa Fe, Havana
Santa Fe is a coastal neighborhood in the Playa municipality of Havana, Cuba, known for its seaside location and residential character.
-
B.
City of Havana
The City of Havana is the capital and largest city of Cuba, renowned for its historic architecture, vibrant cultural life, and significant political and economic role in the country.
-
C.
Habana Goya
Habana Goya is a graphics processing unit (GPU) architecture developed by Habana Labs, primarily designed to accelerate deep learning inference workloads in data centers.
-
D.
Havana
"Havana" is a Latin-influenced pop song by Cuban-American singer Camila Cabello that became an international hit and one of her signature tracks.
-
E.
La Vega
La Vega is a town and municipality in Colombia known for its lush mountainous landscapes and proximity to Bogotá.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de94dfe484819086dd971606e6478e |
completed | April 14, 2026, 7:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a420040819097ee73390d625338 |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7b0160a08190ae181eb7acb3b6bc |
completed | May 8, 2026, 5:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7be778dc81908b0602bab944330a |
completed | May 8, 2026, 6 a.m. |
Created at: April 10, 2026, 1:21 a.m.