Triple
T37564525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pymmes House |
E933917
|
entity |
| Predicate | hasSurroundingPark |
P199955
|
FINISHED |
| Object | Pymmes Park |
—
|
NE NERFINISHED |
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: Pymmes Park | Statement: [Pymmes House, hasSurroundingPark, Pymmes Park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurroundingPark Context triple: [Pymmes House, hasSurroundingPark, Pymmes Park]
-
A.
hasNearbyParkFeature
chosen
Indicates that one place or object is located close to a park-related feature, such as a park, playground, or green space.
-
B.
isNeighborhoodParkOf
Indicates that a park is located within and serves as a local recreational area for a specific neighborhood.
-
C.
locatedInParkVicinity
Indicates that an entity is situated in the area immediately surrounding or near a park.
-
D.
hasNearbyParkEntrance
Indicates that one location is situated close to an entrance of a park.
-
E.
hasParkArea
Indicates that an entity includes or is associated with a designated park or recreational area within its boundaries.
- 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_69f76ecb4acc8190b53f96d0b013e415 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: May 3, 2026, 4:17 p.m.