Triple
T325331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milan, Ohio, United States |
E6503
|
entity |
| Predicate | namedFor |
P63
|
FINISHED |
| Object | Milan, Italy |
E11464
|
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: Milan, Italy | Statement: [Milan, Ohio, United States, namedFor, Milan, Italy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Milan, Italy Context triple: [Milan, Ohio, United States, namedFor, Milan, Italy]
-
A.
Milan
chosen
Milan is a major Italian metropolis renowned as a global center for fashion, design, finance, and culture.
-
B.
Bologna
Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
-
C.
Turin
Turin is a major city in northern Italy known for its rich history, Baroque architecture, automotive industry, and role as a cultural and economic hub.
-
D.
Trieste, Italy
Trieste, Italy is a northeastern Italian port city on the Adriatic Sea known for its historic role as a cultural crossroads between Italy, Central Europe, and the Balkans and as a major center for international scientific research.
-
E.
Pisa
Pisa is a historic Italian city in Tuscany best known for its iconic Leaning Tower and as a significant center of medieval trade, learning, and architecture.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea959f9c819084602b8a1b5e66dd |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d03b948c8190b9b6f8e86c3249e8 |
completed | March 1, 2026, 11:48 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.