Triple
T7953139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smallwood Reservoir |
E184662
|
entity |
| Predicate | isLakeType |
P79996
|
FINISHED |
| Object | reservoir lake |
—
|
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 lake | Statement: [Smallwood Reservoir, isLakeType, reservoir lake]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLakeType Context triple: [Smallwood Reservoir, isLakeType, reservoir lake]
-
A.
isInLake
Indicates that one entity is located within the body of water defined as a lake.
-
B.
isHighAltitudeLake
Indicates that a lake is situated at a relatively high elevation above sea level.
-
C.
isUrbanLake
Indicates that a given lake is located within or closely associated with an urban or metropolitan area.
-
D.
hasLakeThatRepresents
Indicates a relationship where a lake serves as a symbolic or representative feature for something, such as a place, concept, or entity.
-
E.
usesLakeFor
Indicates that an entity utilizes a lake as a resource or setting for some purpose, activity, or function.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b5e51c88190abcc0534723e3660 |
completed | March 31, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69cb0473d7dc8190a25d0cf460b9fcbe |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bbbacc81909c6cf8ec35314bbb |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:10 p.m.