Triple
T21205829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankum |
E522576
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Artland |
—
|
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: Artland | Statement: [Ankum, isPartOf, Artland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Artland Context triple: [Ankum, isPartOf, Artland]
-
A.
Artland
chosen
Artland is a collective municipality (Samtgemeinde) in Lower Saxony, Germany, known for its small towns and rural landscapes in the Osnabrück district.
-
B.
ArtVille
ArtVille is an interactive, family-focused art and play exhibit designed to engage young children in creative, hands-on learning experiences.
-
C.
Google Arts & Culture
Google Arts & Culture is an online platform and app by Google that partners with museums, cultural institutions, and artists worldwide to digitally showcase artworks, artifacts, and cultural stories.
-
D.
Graphilbum
Graphilbum is a genus of fungi in the family Ophiostomataceae, known for species often associated with bark beetles and wood-inhabiting ecological niches.
-
E.
ARTF
ARTF is Mexico’s federal regulatory agency responsible for overseeing and regulating the country’s railway transportation system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e734342e9081909e241bed54dbc0b4 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:20 p.m.