Triple
T1242004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matanzas Province |
E26677
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Perico
Perico is a municipality and town located in Matanzas Province in western Cuba.
|
E142348
|
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: Perico | Statement: [Matanzas Province, hasMunicipality, Perico]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perico Context triple: [Matanzas Province, hasMunicipality, Perico]
-
A.
Perico
Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
-
B.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
C.
Pepa
Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
-
D.
Chuch’e
Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
-
E.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
- 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: Perico Triple: [Matanzas Province, hasMunicipality, Perico]
Generated description
Perico is a municipality and town located in Matanzas Province in western Cuba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perico Target entity description: Perico is a municipality and town located in Matanzas Province in western Cuba.
-
A.
Perico
Perico is a minor character in Ernest Hemingway's novella "The Old Man and the Sea," known as a young boy who helps the old fisherman Santiago by providing him with newspapers and showing him quiet support.
-
B.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
C.
Pepa
Pepa is a traditional Assamese wind instrument, typically made from buffalo horn, used in folk and Bihu music.
-
D.
Chuch’e
Chuch’e is an alternative spelling of Juche, the North Korean state ideology centered on political self-reliance and national independence.
-
E.
Pacho
Pacho is a town and municipality in the Cundinamarca Department of central Colombia, known historically for its agricultural production and scenic Andean surroundings.
- 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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f79afe08190802dd615f01e303d |
completed | March 7, 2026, 8:50 p.m. |
| NEDg | Description generation | batch_69ac90277d2481908d358bf3f8fdbdca |
completed | March 7, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9080f4748190a2313bede48d3404 |
completed | March 7, 2026, 8:54 p.m. |
Created at: March 1, 2026, 7:47 p.m.