Triple
T19579076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southbank of St. Johns River |
E489937
|
entity |
| Predicate | isUrbanWaterfront |
P136337
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Southbank of St. Johns River, isUrbanWaterfront, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanWaterfront Context triple: [Southbank of St. Johns River, isUrbanWaterfront, true]
-
A.
isUrbanWaterway
Indicates that a waterway is located within, passes through, or primarily serves an urban or metropolitan area.
-
B.
isUrbanBeach
Indicates that a beach is located within or adjacent to an urban area and is characterized by city-related surroundings or infrastructure.
-
C.
isUrbanLake
Indicates that a given lake is located within or closely associated with an urban or metropolitan area.
-
D.
isWaterfrontSuburb
Indicates that a suburb is located directly adjacent to a body of water, such as a sea, lake, or river.
-
E.
isUrbanMarina
Indicates that a marina is located within or directly adjacent to an urban area, serving as a city-based waterfront facility.
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402693d88190a828c0e136895783 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:42 p.m.