Triple
T24220001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASK Riga |
E601421
|
entity |
| Predicate | homeCountryAtTime |
P86065
|
FINISHED |
| Object | Latvian SSR |
—
|
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: Latvian SSR | Statement: [ASK Riga, homeCountryAtTime, Latvian SSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCountryAtTime Context triple: [ASK Riga, homeCountryAtTime, Latvian SSR]
-
A.
locationCountryAtTheTime
Indicates that an entity was located in a specified country during a particular time or time period.
-
B.
homeCountryDuringNameUse
chosen
Indicates the country that served as an entity’s home or primary national affiliation during the period when a particular name was in use.
-
C.
projectCountryAtTheTime
Indicates the country with which a project was associated at the specific time or period in question.
-
D.
countryOfBirthAtTime
Indicates that an entity was born in a specified country, with the relationship qualified by a particular point or interval in time.
-
E.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
- 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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f2820cdd3c8190998d6d901224c09f |
completed | April 29, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:59 p.m.