Triple
T34988624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgin Lands City |
E1009320
|
entity |
| Predicate | politicalEntityTypeDuringUSSR |
P172960
|
FINISHED |
| Object | oblast center |
—
|
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: oblast center | Statement: [Virgin Lands City, politicalEntityTypeDuringUSSR, oblast center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalEntityTypeDuringUSSR Context triple: [Virgin Lands City, politicalEntityTypeDuringUSSR, oblast center]
-
A.
classificationByUSSR
chosen
Indicates that an entity is categorized or designated according to a classification system used by the USSR.
-
B.
topLevelAdministrativeUnitDuringUSSR
Indicates that an entity functioned as the highest-level administrative division within the USSR during a specified time period.
-
C.
politicalEntityTypeRuled
Indicates the type or category of political entity over which a ruler or governing authority exercises control or sovereignty.
-
D.
ownerDuringUSSR
Indicates that one entity was the owner of another entity specifically during the period of the USSR’s existence.
-
E.
geopoliticalEntityType
Indicates the classification of a geopolitical entity in terms of its political or administrative type (e.g., country, state, province, city).
- 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feafa1ba0081909013800b85a9f613 |
completed | May 9, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69feae58d62c81909d031f3df8992883 |
completed | May 9, 2026, 3:47 a.m. |
Created at: May 3, 2026, 4:01 p.m.