Triple
T27329312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wieringen |
E689748
|
entity |
| Predicate | AfsluitdijkCompletionYear |
P136831
|
FINISHED |
| Object | 1932 |
—
|
LITERAL 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: 1932 | Statement: [Wieringen, AfsluitdijkCompletionYear, 1932]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfsluitdijkCompletionYear Context triple: [Wieringen, AfsluitdijkCompletionYear, 1932]
-
A.
majorDamCompletionYear
chosen
Indicates the calendar year in which a major dam was completed and became operational.
-
B.
dikeBreaches
Indicates that a dike fails or ruptures, allowing water to break through its barrier.
-
C.
areaInundatedNetherlands
Indicates the extent of land in the Netherlands that is covered or flooded by water.
-
D.
wasWorldsHighestBridgeUntil
Indicates that a bridge held the record as the highest bridge in the world until a specified later time or event.
-
E.
DikeRepresents
Indicates that one entity (typically a person or organization) serves as the legal representative or advocate for another entity in matters concerning a dike or flood-defense structure.
- F. None of above.
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_69ef355d4cb08190ab032c0a2e7d3753 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62aca6ba48190bf2be364412d4944 |
completed | May 2, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69f620e4b1c88190a17940251abc68fd |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:37 a.m.