Triple
T19057799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irkutsk Time |
E466443
|
entity |
| Predicate | geographicalDescription |
P12436
|
FINISHED |
| Object | time zone in eastern Siberia |
—
|
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: time zone in eastern Siberia | Statement: [Irkutsk Time, geographicalDescription, time zone in eastern Siberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalDescription Context triple: [Irkutsk Time, geographicalDescription, time zone in eastern Siberia]
-
A.
geographyBehavior
Indicates how an entity behaves, functions, or interacts in relation to its geographic context or location.
-
B.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
C.
hasGeographyCharacteristic
chosen
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
D.
geographicalMetaphor
Indicates a figurative relationship where spatial or geographic terms are used metaphorically to describe non-spatial concepts or relationships.
-
E.
impliesGeographicalFact
Indicates that one geographical statement or condition logically entails the truth of another geographical fact.
- 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5dc0742288190a594be859184841a |
completed | April 20, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69e4b99633c8819097988608c278ecf8 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.