Triple
T18733260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venlo |
E458091
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Arcen |
—
|
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: Arcen | Statement: [Venlo, contains, Arcen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arcen Context triple: [Venlo, contains, Arcen]
-
A.
Arcen
chosen
Arcen is a village in the Dutch province of Limburg, known for its historic center, castle gardens, and location along the river Maas.
-
B.
Arcas
Arcas is a figure in Greek mythology, the son of Zeus and Callisto, who became the eponymous ancestor of the Arcadians and was later associated with the constellations Ursa Major and Ursa Minor.
-
C.
Master Arca
Master Arca is a revered Jedi Master from Star Wars lore, known for mentoring future Jedi leaders and playing a key role in the early days of the Old Republic era.
-
D.
Arcop
Arcop was a prominent Canadian architectural firm known for its modernist designs and major cultural and institutional projects across Canada.
-
E.
Arcore
Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d791ab88190b333503f9b1ad0c0 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.