Triple
T38384951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DE94C |
E899552
|
entity |
| Predicate | partOfNUTSLevel1 |
P200394
|
FINISHED |
| Object | DE9 |
—
|
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: DE9 | Statement: [DE94C, partOfNUTSLevel1, DE9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfNUTSLevel1 Context triple: [DE94C, partOfNUTSLevel1, DE9]
-
A.
topLevelAdministrativeTerritorialEntity
Indicates that one entity is the primary or highest-level administrative territorial division in which the other entity is located or governed.
-
B.
belongsToNUTSLevel1
chosen
Indicates that an entity is part of, or falls within the jurisdiction of, a specified NUTS Level 1 region in the Nomenclature of Territorial Units for Statistics system.
-
C.
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.
-
D.
europeanUnionRegion
Indicates that an entity is located in, associated with, or falls under the jurisdiction of a region defined by or within the European Union.
-
E.
NUTSRegionCode
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
- 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_69f76e5c9b808190b486523f5c2f817d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01c41dfe248190a68f4a262591b30f |
completed | May 11, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_6a01c375d14c8190a15bfa12623588a9 |
completed | May 11, 2026, 11:54 a.m. |
Created at: May 3, 2026, 4:31 p.m.