Triple
T31055777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UMMS |
E791390
|
entity |
| Predicate | countryCapitalAirport |
P62098
|
FINISHED |
| Object | Minsk |
—
|
NE NERFINISHED |
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: Minsk | Statement: [UMMS, countryCapitalAirport, Minsk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalAirport Context triple: [UMMS, countryCapitalAirport, Minsk]
-
A.
countryCapitalOfLocatedCity
Indicates that a city serves as the capital of a country and is geographically located within that country.
-
B.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
-
C.
countryCapitalAssociation
chosen
Indicates the relationship in which a specific city serves as the capital of a particular country.
-
D.
destinationCapitalOf
Indicates that a location serves as the capital city of the specified destination or region.
-
E.
countryCapitalOverlooked
Indicates that a country's capital city is being neglected, ignored, or insufficiently recognized in a given context or consideration.
- 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_69f224cb08908190ba71ad9aa87518ed |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffc1550cb481908628e446d9b67f7b |
completed | May 9, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69ffc10a74708190ae90e2c378791f70 |
completed | May 9, 2026, 11:19 p.m. |
Created at: April 29, 2026, 9 p.m.