Triple
T15611364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gatineau watershed |
E375299
|
entity |
| Predicate | typeOfWaterSystem |
P36984
|
FINISHED |
| Object | inland surface water basin |
—
|
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: inland surface water basin | Statement: [Gatineau watershed, typeOfWaterSystem, inland surface water basin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWaterSystem Context triple: [Gatineau watershed, typeOfWaterSystem, inland surface water basin]
-
A.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
isPartOfWaterSystem
chosen
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
-
C.
waterServiceType
Indicates the specific kind or category of water service provided or associated with an entity.
-
D.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
E.
waterSourceType
Indicates the kind or category of source from which water is obtained.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8148a0819087d6d69cc84487ca |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:13 a.m.