Triple
T20920871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cangrejo Arriba |
E515202
|
entity |
| Predicate | hasSubdivisionNameLevel2 |
P53398
|
FINISHED |
| Object | Carolina |
—
|
NE NERFINISHED |
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: Carolina | Statement: [Cangrejo Arriba, hasSubdivisionNameLevel2, Carolina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carolina Context triple: [Cangrejo Arriba, hasSubdivisionNameLevel2, Carolina]
-
A.
Carolina
"Carolina" is a popular song by Brazilian musician Seu Jorge, known for its smooth blend of samba and MPB influences.
-
B.
Carolina
Carolina is a common nickname for the University of North Carolina at Chapel Hill, a major public research university known for its strong academics and athletic programs.
-
C.
Carolina
Carolina is a feminine given name of Latin origin, commonly used in various languages as a form of Caroline or Charles.
-
D.
Carolina
"Carolina" is a country music album by American singer-songwriter Eric Church that helped establish his reputation for blending traditional country with rock influences.
-
E.
Carolina
Carolina is a small town in South Africa’s Mpumalanga province, known historically for coal mining and its rural, highveld surroundings.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carolina Target entity description: Carolina is a municipality in northeastern Puerto Rico known for its urban character, beaches, and proximity to the capital, San Juan.
-
A.
Carolina
chosen
Carolina is a major municipality in Puerto Rico, known for its urban character, commercial centers, and proximity to San Juan.
-
B.
Carolina
Carolina is a locality in the San Miguel Department of El Salvador, known as a small town in the eastern part of the country.
-
C.
Carolina
Carolina is a small town in South Africa’s Mpumalanga province, known historically for coal mining and its rural, highveld surroundings.
-
D.
Carolina
Carolina is a common nickname for the University of North Carolina at Chapel Hill, a major public research university known for its strong academics and athletic programs.
-
E.
Carolina
Carolina was a major English colony in North America that later split into the separate colonies (and eventual U.S. states) of North Carolina and South Carolina.
- F. None of above.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSubdivisionNameLevel2 Context triple: [Cangrejo Arriba, hasSubdivisionNameLevel2, Carolina]
-
A.
hasSecondLevelAdministrativeTerritory
chosen
Indicates that an entity possesses or includes a second-level administrative division within its territorial or organizational hierarchy.
-
B.
hasHigherLevelSubdivision
Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
-
C.
hasHigherLevelSubdivisionType
Indicates that one administrative or territorial subdivision type is hierarchically above another within a broader organizational structure.
-
D.
hasSubdivisionName3
Indicates that an entity has a third-level subdivision whose name is given by the associated value.
-
E.
hasSubdivisionLabel
Indicates that an entity assigns a specific label or name to one of its subdivisions or component parts.
- F. None of above.
Provenance (3 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec677338819081410cbaa2846260 |
completed | April 21, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69e5c9af1fe08190953366a466950140 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:48 p.m.