Triple
T16805784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukenburg district |
E408477
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Malvert |
E1235745
|
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: Malvert | Statement: [Dukenburg district, contains, Malvert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malvert Context triple: [Dukenburg district, contains, Malvert]
-
A.
Malvert
chosen
Malvert is a residential neighborhood in the Dutch city of Nijmegen, located within the district of Dukenburg.
-
B.
Candy Man
Candy Man is the popular nickname of NASCAR driver Kyle Busch, referencing his long-time sponsorship association with M&M’s and other candy brands.
-
C.
The Candy Man
"The Candy Man" is a popular song from the 1971 film *Willy Wonka & the Chocolate Factory* that became widely known through Sammy Davis Jr.'s hit recording.
-
D.
Malle Babbe
Malle Babbe is a famous 17th-century Dutch genre painting by Frans Hals, depicting a laughing woman with a tankard of beer and an owl, celebrated for its lively brushwork and expressive character.
-
E.
La Vormaine
La Vormaine is a beginner-friendly ski area near Chamonix, popular for its gentle slopes and ski school facilities.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cc25dc81909443b2c83155267a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb0dce448190b20ca3d60d9fc475 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:22 a.m.