Triple
T18445581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Memorial Walk |
E450647
|
entity |
| Predicate | hasNumberOfParks |
P131644
|
FINISHED |
| Object | four |
—
|
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: four | Statement: [Diana Memorial Walk, hasNumberOfParks, four]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfParks Context triple: [Diana Memorial Walk, hasNumberOfParks, four]
-
A.
hasParks
Indicates that one entity possesses, contains, or is associated with one or more parks.
-
B.
hasCountryPark
Indicates that a place or administrative area contains or is associated with a designated country park.
-
C.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
-
D.
hasRegionalPark
Indicates that a place or administrative area contains or is served by a designated regional park.
-
E.
partOfChainOfParks
Indicates that an entity is one segment or component within a connected sequence of parks or green spaces.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51c15127881909d23b6dd45d7ccc9 |
completed | April 19, 2026, 6:16 p.m. |
| PD | Predicate disambiguation | batch_69e469c943a4819094c8fdc5971ad3a7 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:30 a.m.