Triple
T10457209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comune of Verbania |
E246577
|
entity |
| Predicate | hasPart |
P35
|
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: [Comune of Verbania, hasPart, Intra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intra Context triple: [Comune of Verbania, hasPart, 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.
From Within
From Within is a 2008 American supernatural horror film centered on a series of mysterious suicides plaguing a small, religiously conservative town.
-
E.
Innerste
Innerste is a river in Lower Saxony, Germany, that flows northward through towns such as Goslar and Hildesheim before joining the Leine.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87f182cb481909f838d6d1dfa7e79 |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 6, 2026, 12:18 p.m.