Triple
T35138417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsar Kaloyan Municipality |
E1014634
|
entity |
| Predicate | belongsToNUTSLevel1Region |
P52934
|
FINISHED |
| Object | Bulgaria |
—
|
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: Bulgaria | Statement: [Tsar Kaloyan Municipality, belongsToNUTSLevel1Region, Bulgaria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToNUTSLevel1Region Context triple: [Tsar Kaloyan Municipality, belongsToNUTSLevel1Region, Bulgaria]
-
A.
hasNUTS0Country
Indicates that an entity is associated with, or belongs to, a specific country at the NUTS level 0 (national) in the NUTS classification system.
-
B.
hasHigherLevelRegion
chosen
Indicates that one region is geographically or administratively contained within and subordinate to a larger, higher-level region.
-
C.
NUTSRegionCode
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
D.
belongsToEURegionType
Indicates that an entity is classified within a specific type or category of European Union region.
-
E.
belongsToEconomicMacroregion
Indicates that one economic region or area is part of, or classified within, a larger economic macroregion.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff7fc835f08190afd1f8129b7a62a2 |
completed | May 9, 2026, 6:41 p.m. |
| PD | Predicate disambiguation | batch_69ff7f2e99ac8190ba372a1358a05a30 |
completed | May 9, 2026, 6:38 p.m. |
Created at: May 3, 2026, 4:02 p.m.