Triple
T34267801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sareyn |
E879219
|
entity |
| Predicate | waterTypeInSprings |
P167515
|
FINISHED |
| Object | sulfur-rich mineral water |
—
|
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: sulfur-rich mineral water | Statement: [Sareyn, waterTypeInSprings, sulfur-rich mineral water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterTypeInSprings Context triple: [Sareyn, waterTypeInSprings, sulfur-rich mineral water]
-
A.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
B.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
C.
waterOrigin
Indicates the source or starting location from which the water originates or is supplied.
-
D.
hasFreshwaterSprings
Indicates that the subject contains or is associated with natural sources of freshwater emerging from the ground.
-
E.
thermalWaterType
chosen
Indicates the specific classification or type of thermal water associated with an entity.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:56 a.m.