Triple
T14193906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake St Clair region |
E351782
|
entity |
| Predicate | waterBodyRole |
P76490
|
FINISHED |
| Object | headwaters area for rivers in central Tasmania |
—
|
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: headwaters area for rivers in central Tasmania | Statement: [Lake St Clair region, waterBodyRole, headwaters area for rivers in central Tasmania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterBodyRole Context triple: [Lake St Clair region, waterBodyRole, headwaters area for rivers in central Tasmania]
-
A.
bodyOfWater
Indicates that one entity is a body of water that is geographically or physically associated with another entity.
-
B.
waterbodyType
Indicates the classification of a water body according to its type (e.g., river, lake, ocean, etc.).
-
C.
formsBodyOfWater
Indicates that one entity constitutes or creates the physical substance or structure that makes up a particular body of water.
-
D.
landingBodyOfWater
Indicates that an entity (such as an aircraft or vessel) lands on or comes to rest upon a specified body of water.
-
E.
waterbodyRegion
chosen
Indicates that a water body is located within, associated with, or spans a particular geographic region.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61e0a52081908213aa6e548d4418 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:04 a.m.