Triple
T5378125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina |
E113010
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object | Trujillo Bajo |
E260347
|
NE FINISHED |
How this triple was built (2 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: Trujillo Bajo | Statement: [Carolina, hasSubdivision, Trujillo Bajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trujillo Bajo Context triple: [Carolina, hasSubdivision, Trujillo Bajo]
-
A.
Trujillo Bajo
chosen
Trujillo Bajo is a historic former name for part of what is now the municipality of Carolina in northeastern Puerto Rico.
-
B.
San Sebastián de Mariquita
San Sebastián de Mariquita is a historic colonial-era town in the Tolima Department of Colombia, known for its role in the Spanish conquest and its preserved architecture.
-
C.
San Vicente de Cañete
San Vicente de Cañete is a coastal Peruvian city in the Lima Region known for its agricultural production, Afro-Peruvian cultural heritage, and role as an important commercial center in the Cañete Valley.
-
D.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
-
E.
San Borja
San Borja is a primarily residential and commercial district in Lima, Peru, known for its middle- to upper-class neighborhoods, green areas, and cultural institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86cb13ac81909dc364e7d3605844 |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411b7a808190a15ef1936a5fcfb6 |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:03 p.m.