Triple
T3959316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delft gunpowder explosion |
E85861
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Delftse donderslag |
E335765
|
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: Delftse donderslag | Statement: [Delft gunpowder explosion, alsoKnownAs, Delftse donderslag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delftse donderslag Context triple: [Delft gunpowder explosion, alsoKnownAs, Delftse donderslag]
-
A.
Fire in Delft
chosen
Fire in Delft is a 17th-century painting by Dutch artist Egbert van der Poel depicting the dramatic aftermath of the 1654 Delft gunpowder explosion.
-
B.
Woerdense Verlaat
Woerdense Verlaat is a small village in the Dutch province of South Holland, known for its rural character and location near waterways and polders.
-
C.
Krimpen aan den IJssel
Krimpen aan den IJssel is a Dutch town and municipality situated along the Hollandse IJssel river, forming part of the Rotterdam metropolitan area.
-
D.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
E.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95ef8988190ba504cdfc217c4fa |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b57ad08190972d385a133c73b8 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.