Triple
T35777844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barmedman township |
E1034345
|
entity |
| Predicate | mineralPoolUse |
P184188
|
FINISHED |
| Object | recreational swimming |
—
|
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: recreational swimming | Statement: [Barmedman township, mineralPoolUse, recreational swimming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mineralPoolUse Context triple: [Barmedman township, mineralPoolUse, recreational swimming]
-
A.
mineralPoolType
Indicates the specific category or type of mineral pool associated with an entity.
-
B.
usesReservoir
Indicates that one entity draws upon, depends on, or operates using a particular reservoir as a resource or source.
-
C.
hasMineral
Indicates that one entity contains, includes, or is composed of a specified mineral.
-
D.
mineralizationType
Indicates the specific kind or style of mineral deposition or ore-forming process characterizing a mineralized occurrence or deposit.
-
E.
resinUse
Indicates the use or application of resin in relation to an entity or process.
- 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_69f76e14a1e081908eddd57bd6fdb3be |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab734d848190a84f9b8c3a952b75 |
completed | May 3, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69f7ac2210e481909279dade5328825c |
completed | May 3, 2026, 8:12 p.m. |
Created at: May 3, 2026, 4:06 p.m.