Triple
T1242005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matanzas Province |
E26677
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Calimete
Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
|
E142349
|
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: Calimete | Statement: [Matanzas Province, hasMunicipality, Calimete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calimete Context triple: [Matanzas Province, hasMunicipality, Calimete]
-
A.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
B.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
C.
Salen
Salen is a small coastal village on the Isle of Mull in Scotland, known as a local hub with basic services for residents and visitors exploring the island.
-
D.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
E.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
- 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: Calimete Triple: [Matanzas Province, hasMunicipality, Calimete]
Generated description
Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calimete Target entity description: Calimete is a rural municipality in western Cuba known for its agricultural activities within Matanzas Province.
-
A.
Bayona
Bayona is a Spanish surname most notably associated with filmmaker J. A. Bayona, known for directing acclaimed films such as "The Orphanage" and "The Impossible."
-
B.
Locana
Locana is a seminal Sanskrit commentary by the Kashmiri philosopher Abhinavagupta, best known for its influential exposition of Indian aesthetic theory and poetics.
-
C.
Salen
Salen is a small coastal village on the Isle of Mull in Scotland, known as a local hub with basic services for residents and visitors exploring the island.
-
D.
Barra
Barra is a scenic island in the Outer Hebrides of Scotland, known for its rugged coastline, Gaelic culture, and the unique beach runway at Barra Airport.
-
E.
Barra
Barra is the surname of Mary Barra, the prominent American business executive and CEO of General Motors.
- 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.