Triple
T12518754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta' Dbiegi |
E299259
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Maltese Archipelago |
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: Maltese Archipelago | Statement: [Ta' Dbiegi, partOf, Maltese Archipelago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maltese Archipelago Context triple: [Ta' Dbiegi, partOf, Maltese Archipelago]
-
A.
Malta Island
Malta Island is the largest and most populous island of the Maltese archipelago in the central Mediterranean, known for its historic cities, fortifications, and cultural landmarks.
-
B.
Borromean Islands
The Borromean Islands are a picturesque archipelago on Italy’s Lake Maggiore, famed for their historic palaces, ornate gardens, and scenic lakeside vistas.
-
C.
Solentiname Islands
The Solentiname Islands are a remote archipelago in southern Lake Nicaragua known for their tranquil natural beauty, vibrant naïve art community, and role as a cultural and spiritual retreat.
-
D.
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.
-
E.
Malta
Malta is a town in Saratoga County, New York, known for its mix of suburban communities, rural landscapes, and the high-tech Luther Forest Technology Campus.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545a2e188190bb92120df740003d |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655745cec8190b5582eb4a339d501 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.