Triple
T25407858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huizen |
E636604
|
entity |
| Predicate | transformedAfter |
P168535
|
FINISHED |
| Object | closure of the Zuiderzee |
—
|
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: closure of the Zuiderzee | Statement: [Huizen, transformedAfter, closure of the Zuiderzee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transformedAfter Context triple: [Huizen, transformedAfter, closure of the Zuiderzee]
-
A.
transformedDuring
Indicates that an entity undergoes a change in form, state, or structure within the duration of a specified event or process.
-
B.
transformedWith
Indicates that one entity has been changed, altered, or converted into a different state, form, or representation through the use or application of another specified entity (such as a tool, method, or process).
-
C.
transformedIn
Indicates that one entity has been changed, converted, or altered into another state, form, or representation within a specific context or process.
-
D.
residenceAfterTransformation
Indicates the place where an entity lives or is located after undergoing a specified transformation or change.
-
E.
ageAfterTransformation
Indicates that an entity’s age is measured or defined after undergoing a specified transformation or change.
- F. None of above. chosen
Provenance (4 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 21, 2026, 1:52 p.m.