Triple
T22413911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maasdriel |
E554062
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Rossum |
—
|
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: Rossum | Statement: [Maasdriel, hasVillage, Rossum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rossum Context triple: [Maasdriel, hasVillage, Rossum]
-
A.
Rossum
Rossum is the surname of Emmy Rossum, an American actress and singer best known for her role as Fiona Gallagher on the television series "Shameless."
-
B.
Rossum
chosen
Rossum is a village in the municipality of Dinkelland in the province of Overijssel in the eastern Netherlands.
-
C.
Joost
Joost is a masculine given name of Dutch origin, historically associated with figures such as the poet and playwright Joost van den Vondel.
-
D.
Joost
Joost was an online video distribution service and Internet TV platform co-created by Skype and Kazaa co-founder Niklas Zennström.
-
E.
Rubinius
Rubinius is an alternative Ruby implementation featuring a virtual machine and just-in-time compilation, designed for high performance and concurrency.
- 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_69e11e4e6ce8819085a1e06d886bf21c |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15945486081908eb3a7b0441c0ef1 |
completed | April 29, 2026, 1:05 a.m. |
Created at: April 16, 2026, 8:46 p.m.