Triple
T15420165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidstone Park |
E369352
|
entity |
| Predicate | isTypeOfWaterfront |
P92288
|
FINISHED |
| Object | bayfront park |
—
|
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: bayfront park | Statement: [Maidstone Park, isTypeOfWaterfront, bayfront park]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypeOfWaterfront Context triple: [Maidstone Park, isTypeOfWaterfront, bayfront park]
-
A.
isWaterfrontBuilding
Indicates that a building is located directly adjacent to a body of water, such as a river, lake, or ocean.
-
B.
hasWaterfrontType
chosen
Indicates that an entity is associated with a specific type or category of waterfront (e.g., oceanfront, lakefront, riverfront).
-
C.
isWaterfrontFacilityType
Indicates that a facility is classified as a type specifically associated with or located on a waterfront.
-
D.
isWaterfrontThoroughfare
Indicates that a thoroughfare (such as a road, street, or path) is located directly along or adjacent to a body of water.
-
E.
isWaterfrontSuburb
Indicates that a suburb is located directly adjacent to a body of water, such as a sea, lake, or river.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebe7b1081908e6b9e6e128a8d5d |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.