Triple
T7181479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damian Marley |
E167456
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Kingston, Jamaica |
E309915
|
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: Kingston, Jamaica | Statement: [Damian Marley, birthPlace, Kingston, Jamaica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kingston, Jamaica Context triple: [Damian Marley, birthPlace, Kingston, Jamaica]
-
A.
Kingston, Jamaica
chosen
Kingston, Jamaica is the capital and largest city of Jamaica, serving as the country’s political, cultural, and economic center and a major Caribbean port.
-
B.
Montego Bay, Jamaica
Montego Bay, Jamaica is a major Caribbean resort city and port on Jamaica’s north coast, known for its tourism, beaches, and role in international diplomacy.
-
C.
Kingston
Kingston is the largest city of Jamaica and its political, cultural, and economic center.
-
D.
Kingston
Kingston is a small waterfront community in Washington State known as a ferry terminal town on the Kitsap Peninsula.
-
E.
Kingston
Kingston is a residential suburb located on Portsea Island in the city of Portsmouth, England.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8bc25088190a7d7f3ba2461b5e9 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b93d04ec8190ac5c5bf9ace7eca1 |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.