Triple
T35255335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mainland Ukraine |
E1018213
|
entity |
| Predicate | hasMajorEconomicCenters |
P1027
|
FINISHED |
| Object | Kyiv |
E17733
|
NE 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: Kyiv | Statement: [mainland Ukraine, hasMajorEconomicCenters, Kyiv]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorEconomicCenters Context triple: [mainland Ukraine, hasMajorEconomicCenters, Kyiv]
-
A.
isEconomicCenter
Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
-
B.
hasMajorCommercialCentre
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
C.
isMajorEconomicAreaFor
Indicates that a location or region serves as a primary center of significant economic activity for a specified entity or sector.
-
D.
hasMajorEconomicRegion
chosen
Indicates that an entity includes, is associated with, or is part of a primary or significant economic region within a larger economic or geographic context.
-
E.
hasMajorCityFunction
Indicates that an entity serves an important urban role or function typically associated with a major city (such as being a commercial, administrative, or cultural center).
- F. None of above.
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_69f76de407d081909dfc3c419817ae93 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a021706e21c81909b83e2b4d9c4130c |
completed | May 11, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3885d64afc8190b3ed5f93bd691fd7 |
completed | June 22, 2026, 12:46 a.m. |
| PD | Predicate disambiguation | batch_6a0216861214819097d2177755bc19d7 |
completed | May 11, 2026, 5:48 p.m. |
Created at: May 3, 2026, 4:02 p.m.