Triple
T27999112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovak Rome |
E707097
|
entity |
| Predicate | appliesToCityWithFeature |
P78765
|
FINISHED |
| Object | high density of churches per area |
—
|
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: high density of churches per area | Statement: [Slovak Rome, appliesToCityWithFeature, high density of churches per area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCityWithFeature Context triple: [Slovak Rome, appliesToCityWithFeature, high density of churches per area]
-
A.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
B.
coversCity
Indicates that one entity extends over, includes, or geographically encompasses the area of a specified city.
-
C.
refersToCityWithAttribute
chosen
Indicates that one entity refers to a city that possesses a specified attribute or set of attributes.
-
D.
supportsCity
Indicates that one entity provides assistance, resources, or backing to a city, helping it function, develop, or achieve its goals.
-
E.
appliesToUrbanArea
Indicates that the relationship, rule, or condition is specifically relevant or applicable to an urban area.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 27, 2026, 7:55 p.m.