Triple
T2600438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stearns Wharf |
E58328
|
entity |
| Predicate | isWaterfront |
P19053
|
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: [Stearns Wharf, isWaterfront, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWaterfront Context triple: [Stearns Wharf, isWaterfront, true]
-
A.
isWaterfrontBuilding
Indicates that a building is located directly adjacent to a body of water, such as a river, lake, or ocean.
-
B.
hasWaterfrontArea
chosen
Indicates that an entity possesses or includes an area directly adjacent to or bordering a body of water.
-
C.
hasWaterfrontDevelopment
Indicates that a location or property includes or is associated with constructed developments directly along or adjacent to a body of water.
-
D.
hasFloodplain
Indicates that an area or location lies within the floodplain associated with a particular water body or flooding source.
-
E.
hasSurroundingWaters
Indicates that one entity is bordered or encircled by bodies of water associated with another entity.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd457564c819080d8c8818c02545a |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.