Triple
T29626112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narzan Gallery |
E755145
|
entity |
| Predicate | hasWaterProperty |
P63489
|
FINISHED |
| Object | carbonated 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: carbonated mineral water | Statement: [Narzan Gallery, hasWaterProperty, carbonated mineral water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterProperty Context triple: [Narzan Gallery, hasWaterProperty, carbonated mineral water]
-
A.
hasWaterFunction
Indicates that an entity performs, provides, or is associated with a specific function or role related to water.
-
B.
hasWaterCharacteristics
chosen
Indicates that one entity possesses qualities, properties, or behaviors characteristic of water.
-
C.
hasWaterChannel
Indicates that one entity possesses or contains a channel or conduit through which water flows or is transported.
-
D.
hasWaterResourceType
Indicates that an entity is associated with a specific type or category of water resource.
-
E.
hasWaterFeatures
Indicates that an entity includes or is associated with water-related elements such as fountains, ponds, streams, or similar features.
- 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_69f0ef86b6ec8190a87fff07fd983b1e |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 28, 2026, 6:37 p.m.