Triple
T27942444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Владимирская |
E700787
|
entity |
| Predicate | formerCountryAtOpening |
P194348
|
FINISHED |
| Object | Soviet Union |
—
|
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: Soviet Union | Statement: [Владимирская, formerCountryAtOpening, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerCountryAtOpening Context triple: [Владимирская, formerCountryAtOpening, Soviet Union]
-
A.
openingCountry
Indicates the country in which something (such as a business, event, or production) is first opened, launched, or premiered.
-
B.
formerCountry
Indicates that an entity was previously recognized as a country but no longer holds that status.
-
C.
formerCountryOfRepresentation
Indicates that an entity previously served as the country represented by another entity, but no longer holds that role.
-
D.
formerGoverningCountry
Indicates that one country previously held governing or colonial authority over another country or territory.
-
E.
formerHeadquartersCountry
Indicates the country in which an entity’s headquarters used to be located before being moved or closed.
- F. None of above. chosen
Provenance (4 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
| PDg | Predicate description generation | batch_69fd6dbc3ac0819093fbcfe95f12b93d |
completed | May 8, 2026, 4:59 a.m. |
Created at: April 27, 2026, 7:19 p.m.