Triple
T9724781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villa Clara Province |
E235578
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Camajuaní
Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
|
E818442
|
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: Camajuaní | Statement: [Villa Clara Province, hasMunicipality, Camajuaní]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camajuaní Context triple: [Villa Clara Province, hasMunicipality, Camajuaní]
-
A.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
D.
Acawayo
Acawayo is an alternative name for the Akawaio language, an indigenous Cariban language spoken by the Akawaio people of northern South America.
-
E.
Copala
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
- 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: Camajuaní Triple: [Villa Clara Province, hasMunicipality, Camajuaní]
Generated description
Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camajuaní Target entity description: Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
-
A.
Comayagüela
Comayagüela is a major urban district of Honduras that, together with Tegucigalpa, forms the country’s capital area.
-
B.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
C.
Chiriguaná
Chiriguaná is a municipality and town in northern Colombia’s Cesar Department, known for its agricultural economy and location along key transport routes in the Caribbean region.
-
D.
Acawayo
Acawayo is an alternative name for the Akawaio language, an indigenous Cariban language spoken by the Akawaio people of northern South America.
-
E.
Copala
Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afb089e48190a14ed0c0f81872c7 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b06d39b48190adaadbc81b4ffb9a |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1511c7c8190ba7bc691ab2d3a13 |
completed | April 5, 2026, 12:48 a.m. |
Created at: March 30, 2026, 8:21 p.m.