Triple
T11935383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lexicon Bracknell |
E284025
|
entity |
| Predicate | hasGreenElement |
P40013
|
FINISHED |
| Object | landscaped public spaces |
—
|
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: landscaped public spaces | Statement: [The Lexicon Bracknell, hasGreenElement, landscaped public spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenElement Context triple: [The Lexicon Bracknell, hasGreenElement, landscaped public spaces]
-
A.
hasGreenType
Indicates that an entity possesses or is associated with a type classified as green.
-
B.
hasForegroundElement
Indicates that one element is positioned or perceived as being in the foreground relative to other elements in a scene or composition.
-
C.
hasVillageGreen
chosen
Indicates that one entity possesses or includes a village green as part of its area or facilities.
-
D.
hasElementType
Indicates that something is composed of or contains elements that are of a specified type.
-
E.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.