Triple
T2344750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carolina, Puerto Rico |
E45104
|
entity |
| Predicate | previousName |
P65
|
FINISHED |
| Object |
Trujillo Bajo
Trujillo Bajo is a historic former name for part of what is now the municipality of Carolina in northeastern Puerto Rico.
|
E260347
|
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: Trujillo Bajo | Statement: [Carolina, Puerto Rico, previousName, Trujillo Bajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trujillo Bajo Context triple: [Carolina, Puerto Rico, previousName, Trujillo Bajo]
-
A.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
-
B.
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.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
San José de la Mariquina
San José de la Mariquina is a small Chilean city known for its agricultural surroundings and location in the southern Los Ríos Region.
-
E.
Betancuria
Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
- 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: Trujillo Bajo Triple: [Carolina, Puerto Rico, previousName, Trujillo Bajo]
Generated description
Trujillo Bajo is a historic former name for part of what is now the municipality of Carolina in northeastern Puerto Rico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trujillo Bajo Target entity description: Trujillo Bajo is a historic former name for part of what is now the municipality of Carolina in northeastern Puerto Rico.
-
A.
San Borja
San Borja is a town in Bolivia’s Beni Department, known as a regional center in the country’s northern lowlands.
-
B.
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.
-
C.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
D.
San José de la Mariquina
San José de la Mariquina is a small Chilean city known for its agricultural surroundings and location in the southern Los Ríos Region.
-
E.
Betancuria
Betancuria is a historic inland town and former capital of the Canary Island of Fuerteventura, known for its traditional architecture and rural charm.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6afe38c81909deb1de2a1c4eda9 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea88113988190b89abfc01f5bf6f4 |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeaacdb19081908561e845eda30143 |
completed | March 9, 2026, 11:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeab435b7081909ec4815f64fe9ea1 |
completed | March 9, 2026, 11:13 a.m. |
Created at: March 4, 2026, 7:52 p.m.