Triple
T11569690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Messina |
E274352
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | City of Messina |
E83961
|
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: City of Messina | Statement: [Province of Messina, contains, City of Messina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Messina Context triple: [Province of Messina, contains, City of Messina]
-
A.
Catania
Catania is a historic port city on the eastern coast of Sicily, Italy, known for its Baroque architecture and proximity to Mount Etna.
-
B.
Messina
chosen
Messina is a major port city in northeastern Sicily, Italy, located on the Strait of Messina opposite mainland Calabria.
-
C.
Messina
Messina is an Italian surname most notably associated with various public figures in politics, entertainment, and sports.
-
D.
Melfi
Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
-
E.
Figari
Figari is a small commune in southern Corsica, France, known for its coastal landscapes, vineyards, and role as a regional transport hub.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd543a48190b834abd8e8ae7b65 |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8dec908819080d97cd33be55b3f |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.