Triple
T14366286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camagüey Province |
E356242
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Esmeralda
Esmeralda is a municipality and town located in Camagüey Province in central Cuba.
|
E1095101
|
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: Esmeralda | Statement: [Camagüey Province, hasCity, Esmeralda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esmeralda Context triple: [Camagüey Province, hasCity, Esmeralda]
-
A.
Esmeralda
Esmeralda is a compassionate Romani street dancer in Victor Hugo’s novel "Notre-Dame de Paris," whose beauty and kindness captivate several central characters and drive much of the story’s tragedy.
-
B.
Esclarmonde
Esclarmonde is a late 19th-century French opera by Jules Massenet, noted for its virtuosic soprano role and lush, romantic orchestration.
-
C.
Esmeralda Calabria
Esmeralda Calabria is an Italian film editor known for her work on acclaimed contemporary Italian cinema, including the crime drama "Romanzo criminale."
-
D.
Edmée
Edmée is a feminine given name of French origin, often considered a variant of Edmé and historically associated with French-speaking regions.
-
E.
Marie-Esmeralda
Marie-Esmeralda is a Belgian princess, journalist, and environmental and human rights activist, known as the daughter of King Leopold III of Belgium.
- 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: Esmeralda Triple: [Camagüey Province, hasCity, Esmeralda]
Generated description
Esmeralda is a municipality and town located in Camagüey Province in central Cuba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esmeralda Target entity description: Esmeralda is a municipality and town located in Camagüey Province in central Cuba.
-
A.
Esmeralda
Esmeralda is a compassionate Romani street dancer in Victor Hugo’s novel "Notre-Dame de Paris," whose beauty and kindness captivate several central characters and drive much of the story’s tragedy.
-
B.
Esclarmonde
Esclarmonde is a late 19th-century French opera by Jules Massenet, noted for its virtuosic soprano role and lush, romantic orchestration.
-
C.
Esmeralda Calabria
Esmeralda Calabria is an Italian film editor known for her work on acclaimed contemporary Italian cinema, including the crime drama "Romanzo criminale."
-
D.
Edmée
Edmée is a feminine given name of French origin, often considered a variant of Edmé and historically associated with French-speaking regions.
-
E.
Marie-Esmeralda
Marie-Esmeralda is a Belgian princess, journalist, and environmental and human rights activist, known as the daughter of King Leopold III of Belgium.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8faf00e8819087d7100e9d8c1877 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4fa3788190b7fa5c34620c3ada |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e14f4dc8190860bd3bd4e306e28 |
completed | May 8, 2026, 2:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4ea9fefc8190a5650f8ee270f37f |
completed | May 8, 2026, 2:47 a.m. |
Created at: April 10, 2026, 1:15 a.m.