Triple
T534749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caravaggio |
E12300
|
entity |
| Predicate | workedIn |
P1527
|
FINISHED |
| Object | Malta |
E9342
|
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: Malta | Statement: [Caravaggio, workedIn, Malta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malta Context triple: [Caravaggio, workedIn, Malta]
-
A.
Malta
chosen
Malta is a small island nation in the central Mediterranean known for its rich history, strategic location, and membership in the European Union.
-
B.
San Marino
San Marino is a small, landlocked microstate surrounded by Italy, known as one of the world’s oldest republics and a popular tourist destination.
-
C.
Gozo
Gozo is the second-largest island of the Maltese archipelago, known for its rural charm, historic sites, and scenic coastline in the Mediterranean Sea.
-
D.
Cyprus
Cyprus is an island country in the Eastern Mediterranean known for its strategic location, divided capital Nicosia, and blend of Greek and Turkish cultural influences.
-
E.
Corsica
Corsica is a mountainous Mediterranean island and French territorial collectivity known for its distinct culture, rugged coastline, and as the birthplace of Napoleon Bonaparte.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a494e202348190a6e5110109703a69 |
completed | March 1, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4c030883081909c8f32b7af85f8a6 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:32 p.m.