Triple
T16397821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TreasureFleets |
E398227
|
entity |
| Predicate | arrivalPort |
P1522
|
FINISHED |
| Object | Portobelo |
E70571
|
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: Portobelo | Statement: [TreasureFleets, arrivalPort, Portobelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Portobelo Context triple: [TreasureFleets, arrivalPort, Portobelo]
-
A.
Portobelo
chosen
Portobelo is a historic Caribbean port town in present-day Panama that served as a key Spanish colonial hub for shipping South American silver and goods to Europe.
-
B.
Puerto Coca
Puerto Coca is a town in northeastern Ecuador that serves as a key gateway to the Amazon rainforest and regional oil operations.
-
C.
Port Esquivel
Port Esquivel is a small industrial seaport on Jamaica’s south coast, primarily used for the export of alumina and other bulk commodities.
-
D.
San Blas
San Blas is a Madrid Metro station serving the San Blas-Canillejas district in the east of Madrid, Spain.
-
E.
San Blas
San Blas is the Spanish name for Saint Blaise, a Christian bishop and martyr venerated as a patron saint of throat ailments.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cc5c9c8190ba1a70f9e430cefb |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357838a88190be88c51f454be6eb |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:09 a.m.