Triple
T23341938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cartagena Bay |
E591757
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Castillo San Felipe de Barajas |
—
|
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: Castillo San Felipe de Barajas | Statement: [Cartagena Bay, near, Castillo San Felipe de Barajas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castillo San Felipe de Barajas Context triple: [Cartagena Bay, near, Castillo San Felipe de Barajas]
-
A.
Castillo San Felipe de Barajas
chosen
Castillo San Felipe de Barajas is a massive 16th-century Spanish fortress in Cartagena, Colombia, renowned as one of the most impressive and strategically important colonial military structures in the Americas.
-
B.
Torreblanca
Torreblanca is a coastal resort town on Spain’s Costa del Azahar, known for its Mediterranean beaches and tourism.
-
C.
Torre de Cerredo
Torre de Cerredo is the highest peak in Spain’s Picos de Europa range, renowned for its dramatic limestone cliffs and challenging alpine climbs.
-
D.
Torre de Madrid
Torre de Madrid is a prominent mid-20th-century skyscraper in central Madrid, known as one of the city's most recognizable high-rise landmarks.
-
E.
Torre Arias
Torre Arias is a Madrid Metro station serving the San Blas-Canillejas district in the east of Spain’s capital.
- 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_69e25d20e3d08190bcede87673cafb25 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f198334dec819081c432b434eb3ba5 |
completed | April 29, 2026, 5:33 a.m. |
Created at: April 17, 2026, 5:18 p.m.