Triple
T21331175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lelystad |
E525900
|
entity |
| Predicate | isOneOfLargestLandReclamationProjects |
P143753
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lelystad, isOneOfLargestLandReclamationProjects, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestLandReclamationProjects Context triple: [Lelystad, isOneOfLargestLandReclamationProjects, true]
-
A.
hasLandReclamation
Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
-
B.
isOneOfLargestArtificialLakesIn
Indicates that a lake ranks among the largest artificial (man-made) lakes within a specified region or area.
-
C.
isOneOfLargestDamsIn
Indicates that a dam ranks among the largest dams within a specified geographic region or jurisdiction.
-
D.
oneOfLargest
Indicates that the subject is among the largest members within a specified group or set, but not necessarily the single largest.
-
E.
largestLagoonOn
Indicates that one entity is the largest lagoon located on or associated with the surface of another entity.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab530a1c81909bb37c2a3407d9e6 |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:42 p.m.