Triple
T33367093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipality of Fribourg |
E854383
|
entity |
| Predicate | isCantonalCapital |
P111419
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [municipality of Fribourg, isCantonalCapital, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCantonalCapital Context triple: [municipality of Fribourg, isCantonalCapital, true]
-
A.
governingCantonCapital
Indicates that a city serves as the capital and administrative seat of the specified canton.
-
B.
locatedInCountryCapitalOfCanton
Indicates that something is located in the country that is the capital of a specific canton.
-
C.
capitalCityOfLargestCanton
Indicates the city that serves as the capital of the geographically largest canton within a given country or region.
-
D.
isCapitalMunicipalityOf
chosen
Indicates that a municipality serves as the official capital (administrative center) of a specified larger region, such as a state, province, or country.
-
E.
hasCanton
Indicates that an entity is administratively divided into, or associated with, a specific canton.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:35 a.m.