Triple
T23457346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemencia |
E567963
|
entity |
| Predicate | departmentCapital |
P18552
|
FINISHED |
| Object | Cartagena |
—
|
NE NERFINISHED |
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: Cartagena | Statement: [Clemencia, departmentCapital, Cartagena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cartagena Context triple: [Clemencia, departmentCapital, Cartagena]
-
A.
Cartagena
Cartagena is the surname of American rapper and actor Fat Joe, whose full name is Joseph Antonio Cartagena.
-
B.
Cartagena, Colombia
chosen
Cartagena, Colombia is a historic Caribbean port city famed for its well-preserved colonial walled old town, vibrant culture, and role as a major tourist and cultural center in Colombia.
-
C.
Cartagena, Spain
Cartagena, Spain is a historic Mediterranean port city in the Murcia region of southeastern Spain, known for its rich Roman and Carthaginian heritage and well-preserved ancient and naval architecture.
-
D.
Santa Marta
Santa Marta is a historic Caribbean port city in northern Colombia and one of the oldest surviving Spanish settlements in South America.
-
E.
Santa Marta
Santa Marta is a metro station in Mexico City that serves passengers on Line A of the city’s rapid transit system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a6980d4481909fab47cb5bd28eab |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.