Triple
T24485282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobolsky District |
E617487
|
entity |
| Predicate | hasHistoricCenterNearby |
P156483
|
FINISHED |
| Object | Tobolsk |
—
|
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: Tobolsk | Statement: [Tobolsky District, hasHistoricCenterNearby, Tobolsk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHistoricCenterNearby Context triple: [Tobolsky District, hasHistoricCenterNearby, Tobolsk]
-
A.
hasHistoricCenterStatus
Indicates that an entity has been designated or recognized as a historic center, typically due to its cultural, architectural, or historical significance.
-
B.
isInHistoricCenterOf
Indicates that one entity is located within the historic center area of another entity (typically a city or town).
-
C.
isHistoricCenterOf
Indicates that a place serves as the historically significant core or original central area of another location, typically a city or town.
-
D.
hasHistoricCenterShape
Indicates the geometric form or configuration that characterizes the historic center of a place or settlement.
-
E.
hasMonumentInCenter
Indicates that a place or area has a monument located at its central point or main focal area.
- 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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:21 a.m.