Triple
T12431498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harris Station Dam |
E297038
|
entity |
| Predicate | createsWaterBodyType |
P1011
|
FINISHED |
| Object | reservoir |
—
|
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: reservoir | Statement: [Harris Station Dam, createsWaterBodyType, reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createsWaterBodyType Context triple: [Harris Station Dam, createsWaterBodyType, reservoir]
-
A.
waterBodyCreated
Indicates that one entity is responsible for the formation or creation of a particular body of water.
-
B.
waterbodyType
chosen
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
C.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
D.
hydronymType
Indicates the specific type or category of a water-related geographical name (e.g., river, lake, sea) associated with a hydronym.
-
E.
hasBodyOfWaterType
Indicates that a body of water is classified as being of a particular type or category (such as lake, river, ocean, etc.).
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.