Triple
T7534737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugano |
E178117
|
entity |
| Predicate | isMunicipalCapitalOf |
P15001
|
FINISHED |
| Object | district of Lugano |
—
|
LITERAL 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: district of Lugano | Statement: [Lugano, isMunicipalCapitalOf, district of Lugano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMunicipalCapitalOf Context triple: [Lugano, isMunicipalCapitalOf, district of Lugano]
-
A.
isDistrictCapitalOf
chosen
Indicates that a location serves as the administrative or governmental capital of a specified district.
-
B.
cityAsCapitalOf
Indicates that a city serves as the official capital of a specified political or administrative entity.
-
C.
isProvincialCapital
Indicates that a location serves as the administrative capital of a province within a country or region.
-
D.
homeCityIsCapital
Indicates that the person’s home city is the capital city of a relevant larger region, such as a country or state.
-
E.
regionCapital
Indicates that one entity is the capital city or administrative center of a specified region.
- F. None of above.
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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.