Triple
T36259436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rennes-les-Bains |
E892040
|
entity |
| Predicate | spaWaterType |
P167515
|
FINISHED |
| Object | sulphurous waters |
—
|
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: sulphurous waters | Statement: [Rennes-les-Bains, spaWaterType, sulphurous waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spaWaterType Context triple: [Rennes-les-Bains, spaWaterType, sulphurous waters]
-
A.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
thermalWaterType
chosen
Indicates the specific classification or type of thermal water associated with an entity.
-
C.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
D.
fountainType
Indicates the specific kind or category of fountain associated with an entity.
-
E.
hasSpaType
Indicates that an entity is associated with, or classified by, a specific type or category of spa.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b5ffa4248190973a99bcacb02b60 |
completed | May 3, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.