Triple
T13114049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Märkisch-Oderland |
E311046
|
entity |
| Predicate | hasRegionCode |
P3446
|
FINISHED |
| Object | NUTS DE40 |
E402104
|
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: NUTS DE40 | Statement: [Märkisch-Oderland, hasRegionCode, NUTS DE40]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NUTS DE40 Context triple: [Märkisch-Oderland, hasRegionCode, NUTS DE40]
-
A.
NUTS
chosen
NUTS is the Nomenclature of Territorial Units for Statistics, a hierarchical system used to divide countries into regions for the collection, development, and harmonization of regional statistics.
-
B.
NUTN
NUTN is the abbreviation for the National University of Tainan, a public university in Tainan, Taiwan known for its teacher education and humanities programs.
-
C.
NUT
NUT is the commonly used abbreviation for Nagaoka University of Technology, a Japanese national university specializing in engineering and technology.
-
D.
N-40
N-40 is a designated national highway route, identified by the route number N-40, within a country's road network.
-
E.
Nutt
Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9817f8ee8819084078b4bec5e4f18 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28105c481908781775ba489c296 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.