Triple
T11058941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huambo |
E261453
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Lobito |
E337749
|
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: Lobito | Statement: [Huambo, connectedTo, Lobito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lobito Context triple: [Huambo, connectedTo, Lobito]
-
A.
Lobito
chosen
Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
-
B.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
-
C.
Cayo Lobito
Cayo Lobito is a small, uninhabited Caribbean islet known for its clear waters and coral reefs within the Spanish Virgin Islands.
-
D.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
-
E.
La Barra
La Barra is the natural volcanic reef that shelters Las Canteras Beach in Las Palmas de Gran Canaria, creating its calm, protected waters.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a4f3f88190a29710f64cef9d25 |
completed | April 9, 2026, 12:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c87ab0308190a6a6ada1708f0ec2 |
completed | April 18, 2026, 6:07 p.m. |
Created at: April 8, 2026, 9:26 p.m.