Triple
T7633820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diez de Octubre |
E172823
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Luyanó |
E565287
|
NE FINISHED |
How this triple was built (2 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: Luyanó | Statement: [Diez de Octubre, contains, Luyanó]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luyanó Context triple: [Diez de Octubre, contains, Luyanó]
-
A.
Luyanó
chosen
Luyanó is a traditional working-class neighborhood in Havana, Cuba, known for its dense urban fabric and vibrant local culture.
-
B.
Lunahuaná
Lunahuaná is a popular Peruvian town known for its adventure tourism, especially whitewater rafting, and its production of pisco and wine in the Cañete Valley.
-
C.
Cailungo
Cailungo is a locality within the municipality of Serravalle in the Republic of San Marino.
-
D.
Lymari
Lymari is a Puerto Rican actress and film producer best known for her roles in movies such as "American Gangster" and "Battlestar Galactica: The Plan."
-
E.
Nolana
Nolana is a genus of flowering plants native mainly to coastal regions of South America, known for their showy, often blue, funnel-shaped blossoms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6faa72f2881908479049dd8d181a4 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870be4e18819089781c7493dea13b |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:57 p.m.