Triple
T17618896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torre Aquila |
E429656
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Trento |
—
|
NE NERFINISHED |
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: Trento | Statement: [Torre Aquila, locatedIn, Trento]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trento Context triple: [Torre Aquila, locatedIn, Trento]
-
A.
Trento
chosen
Trento is a historic city in northern Italy, known as the capital of Trentino and for its significant role in Catholic history and Alpine culture.
-
B.
Udine
Udine is a historic city in northeastern Italy’s Friuli region, known for its medieval center, Venetian-influenced architecture, and role as an important political and cultural hub.
-
C.
Bolzano
Bolzano was an Italian Zara-class heavy cruiser of the Regia Marina that served during World War II in the Mediterranean Sea.
-
D.
Bolzano
Bolzano is a bilingual Italian city in the South Tyrol region, known for its Alpine setting, mix of Italian and Austrian cultures, and as the home of the famous Ötzi the Iceman museum.
-
E.
Brescia
Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46d3489dc8190a619c58025dbb250 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 5:51 a.m.