Triple
T24894923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunguska Nature Reserve |
E623111
|
entity |
| Predicate | russianDesignation |
P158134
|
FINISHED |
| Object | zapovednik |
—
|
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: zapovednik | Statement: [Tunguska Nature Reserve, russianDesignation, zapovednik]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: russianDesignation Context triple: [Tunguska Nature Reserve, russianDesignation, zapovednik]
-
A.
SovietDesignation
Indicates that an entity has been assigned an official designation or code name by Soviet authorities or according to Soviet classification systems.
-
B.
commanderSideRussia
Indicates that the commander is aligned with, fighting for, or acting on behalf of the Russian side in a conflict or military context.
-
C.
hasMilitaryDesignation
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
D.
isMilitaryAssetOf
Indicates that something functions as a military resource, equipment, or facility that belongs to, is controlled by, or is used by a particular entity.
-
E.
systemDesignation
Indicates that an entity has been assigned a specific formal label or identifier within a defined system or framework.
- 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_69e2fac597708190a922bf39a49ec70a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 5:26 a.m.