Triple
T17645303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rivierenland |
E429339
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Maasdriel |
—
|
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: Maasdriel | Statement: [Rivierenland, contains, Maasdriel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maasdriel Context triple: [Rivierenland, contains, Maasdriel]
-
A.
Maasdriel
chosen
Maasdriel is a municipality in the province of Gelderland in the Netherlands, known for its rural landscape along the river Maas and its collection of small villages.
-
B.
Mandark
Mandark is the villainous boy genius and rival scientist to Dexter in the animated television series "Dexter's Laboratory."
-
C.
Bavmorda
Bavmorda is the primary villain and powerful sorceress queen in the fantasy film "Willow."
-
D.
Aleshtar
Aleshtar is a small city in western Iran known for its Kurdish and Luri population, agricultural economy, and location within the mountainous Lorestan region.
-
E.
Draal
Draal is a powerful troll warrior from the "Trollhunters: Tales of Arcadia" series who becomes a key mentor and protector to Jim Lake Jr.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e382ba88190af19d0e3b8c8cadd |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:04 a.m.