Triple
T4306958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tskaltubo |
E99976
|
entity |
| Predicate | waterUsedForTreatmentOf |
P55049
|
FINISHED |
| Object | musculoskeletal diseases |
—
|
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: musculoskeletal diseases | Statement: [Tskaltubo, waterUsedForTreatmentOf, musculoskeletal diseases]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterUsedForTreatmentOf Context triple: [Tskaltubo, waterUsedForTreatmentOf, musculoskeletal diseases]
-
A.
usesWaterTreatment
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
-
B.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
C.
waterQualityUse
Indicates the way in which water quality is evaluated, classified, or applied for specific purposes or uses.
-
D.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
E.
reservoirUse
Indicates the way a reservoir is utilized or the purpose for which its stored water is used.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350bb78cc8190a850aca47d8711cf |
completed | March 12, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69b347ff45cc8190b0cc335a94cc3d73 |
completed | March 12, 2026, 11:10 p.m. |
| PDg | Predicate description generation | batch_69b34e06b3ec81909298b1ddd74d37bd |
completed | March 12, 2026, 11:36 p.m. |
Created at: March 12, 2026, 11:09 p.m.