Triple
T16057859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroggia |
E389528
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Rovio |
E1191823
|
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: Rovio | Statement: [Maroggia, borders, Rovio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rovio Context triple: [Maroggia, borders, Rovio]
-
A.
Rovio
chosen
Rovio is a municipality in the canton of Ticino in southern Switzerland, located on the slopes above Lake Lugano.
-
B.
Rovio Entertainment
Rovio Entertainment is a Finnish video game developer and entertainment company best known for creating the Angry Birds franchise.
-
C.
Skydance Interactive
Skydance Interactive is a video game development and virtual reality studio known for creating immersive, narrative-driven gaming experiences.
-
D.
Gameloft
Gameloft is a French video game developer and publisher best known for creating and distributing mobile games worldwide.
-
E.
Avalon Studios
Avalon Studios is a prominent New Zealand film and television production facility known for its soundstages and post-production services.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1837634248190a99cc454ad1e99e0 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47a92608190993fe7f2c5957019 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.