Triple
T7267311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holguín Province |
E161008
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Mayarí
Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
|
E651928
|
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: Mayarí | Statement: [Holguín Province, hasCity, Mayarí]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayarí Context triple: [Holguín Province, hasCity, Mayarí]
-
A.
Haydée
Haydée is a fictional Greek princess and former slave who becomes a devoted ally and love interest of Edmond Dantès in Alexandre Dumas' novel "The Count of Monte Cristo."
-
B.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
C.
Altagracia
Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
-
D.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
E.
Vilma
Vilma is a feminine given name used in various cultures, often as a variant of Wilma or Vilhelmina.
- 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: Mayarí Triple: [Holguín Province, hasCity, Mayarí]
Generated description
Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayarí Target entity description: Mayarí is a municipality and town in eastern Cuba known for its rural landscapes, agricultural activity, and cultural significance within Holguín Province.
-
A.
Haydée
Haydée is a fictional Greek princess and former slave who becomes a devoted ally and love interest of Edmond Dantès in Alexandre Dumas' novel "The Count of Monte Cristo."
-
B.
Fabiola
Fabiola is a given name of Latin origin, historically associated with saints and European royalty.
-
C.
Altagracia
Altagracia is a town on Ometepe Island in southwestern Nicaragua, known for its proximity to Lake Nicaragua and its rich indigenous and colonial heritage.
-
D.
Cayetana
Cayetana is the given name of Cayetana Fitz-James Stuart, the 18th Duchess of Alba, a prominent Spanish aristocrat known for holding a record number of noble titles.
-
E.
Vilma
Vilma is a feminine given name used in various cultures, often as a variant of Wilma or Vilhelmina.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae7b2108190a6910f6655669db5 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7d3cd94d48190951759560e9891d7 |
completed | March 28, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_69c7d4319a308190aced214537d9a932 |
completed | March 28, 2026, 1:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7d4afddb88190ad24b66be8e6bc8a |
completed | March 28, 2026, 1:16 p.m. |
Created at: March 27, 2026, 2:58 p.m.