Triple
T17003866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NUTS-1 region NL2 |
E412517
|
entity |
| Predicate | NUTSCodePrefix |
P2415
|
FINISHED |
| Object | NL2 |
—
|
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: NL2 | Statement: [NUTS-1 region NL2, NUTSCodePrefix, NL2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NUTSCodePrefix Context triple: [NUTS-1 region NL2, NUTSCodePrefix, NL2]
-
A.
NUTSRegionCode
chosen
Indicates the classification of an entity according to the NUTS (Nomenclature of Territorial Units for Statistics) regional coding system used for statistical regions.
-
B.
previousNUTSVersion
Indicates that one NUTS (Nomenclature of Territorial Units for Statistics) classification version directly precedes another in the version sequence.
-
C.
icaoRegionPrefix
Indicates the regional ICAO prefix that designates the geographic or administrative region associated with an aviation-related entity.
-
D.
NUTS2Definition
Indicates the formal definition or characterization of a region at the NUTS 2 (Nomenclature of Territorial Units for Statistics level 2) classification level.
-
E.
ISO3166codePredecessorOf
Indicates that one ISO 3166 country code served as the predecessor or was replaced by another ISO 3166 country code in the standard’s historical sequence.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d380f968819097b59e7bac333ea4 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.