Triple
T7546531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbania |
E178417
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Intra |
E246578
|
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: Intra | Statement: [Verbania, formedByMergerOf, Intra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intra Context triple: [Verbania, formedByMergerOf, Intra]
-
A.
Intra
chosen
Intra is a town in northern Italy on the western shore of Lake Maggiore, now part of the municipality of Verbania.
-
B.
IN-TR
IN-TR is the ISO 3166-2 code that uniquely identifies the Indian state of Tripura.
-
C.
Ifni
Ifni was a small former Spanish enclave on the Atlantic coast of southern Morocco that became notable for its decolonization conflict in the late 1950s.
-
D.
Innerste
Innerste is a river in Lower Saxony, Germany, that flows northward through towns such as Goslar and Hildesheim before joining the Leine.
-
E.
Inter
Inter is a major Italian professional football club based in Milan, renowned for its domestic and international successes, including multiple Serie A and UEFA Champions League titles.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f2662f881909f65c936be9eab56 |
completed | March 28, 2026, 9:59 p.m. |
Created at: March 27, 2026, 3:49 p.m.