Triple
T1110168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calverley Grounds |
E25575
|
entity |
| Predicate | isGreenSpaceFor |
P24454
|
FINISHED |
| Object | Royal Tunbridge Wells residents |
—
|
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: Royal Tunbridge Wells residents | Statement: [Calverley Grounds, isGreenSpaceFor, Royal Tunbridge Wells residents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGreenSpaceFor Context triple: [Calverley Grounds, isGreenSpaceFor, Royal Tunbridge Wells residents]
-
A.
hasMeadow
Indicates that one entity possesses, contains, or includes a meadow as part of its area or composition.
-
B.
isWalkable
Indicates that an entity can be traversed on foot, typically without obstruction or restriction.
-
C.
isUrbanParkAdjacent
Indicates that an urban park is directly next to or shares a boundary with another specified area or feature.
-
D.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
E.
landscapeType
Indicates the kind or category of natural terrain or scenery that characterizes a place or area.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.