Triple
T27017230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verbanesi |
E680567
|
entity |
| Predicate | nativeToCity |
P77337
|
FINISHED |
| Object | Verbania |
E178417
|
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: Verbania | Statement: [Verbanesi, nativeToCity, Verbania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nativeToCity Context triple: [Verbanesi, nativeToCity, Verbania]
-
A.
nativeCity
chosen
Indicates that a city is the place where a person was born or is originally from.
-
B.
homeCityOf
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
-
C.
homeCityMetropolitanArea
Indicates that a specified city serves as the primary metropolitan area associated with a given entity’s home location.
-
D.
isMunicipalHomeOf
Indicates that a municipality serves as the official home base or hosting location for a particular entity or organization.
-
E.
homeCityIsSeatOf
Indicates that the person’s home city serves as the administrative or governmental seat (e.g., capital) of a larger region such as a state, province, or country.
- F. None of above.
Provenance (4 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62201a2988190ba6a18134b69e418 |
completed | May 2, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a123a90973c8190801b79a9635df87b |
completed | May 23, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 7:06 a.m.