Triple
T3042409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Silver Beach |
E83159
|
entity |
| Predicate | waterBodyRegion |
P19308
|
FINISHED |
| Object | North shore of Falmouth on Buzzards Bay |
—
|
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: North shore of Falmouth on Buzzards Bay | Statement: [Old Silver Beach, waterBodyRegion, North shore of Falmouth on Buzzards Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyRegion Context triple: [Old Silver Beach, waterBodyRegion, North shore of Falmouth on Buzzards Bay]
-
A.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
B.
connectedBodyOfWater
Indicates that two geographic locations are linked by a continuous body of water through which water can flow between them.
-
C.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
D.
hasAreaWaterBody
chosen
Indicates that an entity includes, contains, or is associated with a body of water within its area or boundaries.
-
E.
isFreshwaterBody
Indicates that the referenced body of water consists primarily of non-saline (fresh) water rather than saltwater.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:01 p.m.