Triple
T20057955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baía das Gatas |
E499389
|
entity |
| Predicate | locatedNortheastOf |
P15148
|
FINISHED |
| Object | Mindelo |
—
|
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: Mindelo | Statement: [Baía das Gatas, locatedNortheastOf, Mindelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mindelo Context triple: [Baía das Gatas, locatedNortheastOf, Mindelo]
-
A.
Mindelo
chosen
Mindelo is the main port city and cultural hub of the Cape Verdean island of São Vicente, known for its vibrant music scene and colorful colonial architecture.
-
B.
Margão
Margão is a major commercial and cultural city in the South Goa district of the Indian state of Goa.
-
C.
Porto Amboim
Porto Amboim is a coastal municipality and port town in western Angola known for its role in regional fishing and maritime trade.
-
D.
Beira
Beira is a major port city in central Mozambique, serving as a key commercial and transport hub for the region.
-
E.
Mocímboa da Praia
Mocímboa da Praia is a coastal town and district in northern Mozambique that has become a strategic and conflict-affected area due to ongoing insurgent activity.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637325908190aefc0e27e2ed5750 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.