Triple
T16126563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | сомони |
E391286
|
entity |
| Predicate | органЭмиссии |
P121567
|
FINISHED |
| Object | Национальный банк Таджикистана |
—
|
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: Национальный банк Таджикистана | Statement: [сомони, органЭмиссии, Национальный банк Таджикистана]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: органЭмиссии Context triple: [сомони, органЭмиссии, Национальный банк Таджикистана]
-
A.
имеетОрган
Indicates that one entity possesses or contains a specific organ as a part of its body.
-
B.
organ
Indicates that one entity is an organ (a functional body part) of another entity.
-
C.
mainOrganOf
Indicates that one entity is the primary or central organ responsible for the core functions of another entity (such as an organism or system).
-
D.
emissionsControl
Indicates a relationship where one entity regulates, limits, or manages the release of emissions produced by another entity or process.
-
E.
tipoDeÓrgano
Indicates that one entity is classified as a specific type or category of organ in relation to another entity.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20204fb408190b58d49d0d64bb740 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.