Triple
T11946903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venetian Pool |
E284320
|
entity |
| Predicate | waterRenewalMethod |
P102410
|
FINISHED |
| Object | draining and refilling from aquifer |
—
|
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: draining and refilling from aquifer | Statement: [Venetian Pool, waterRenewalMethod, draining and refilling from aquifer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterRenewalMethod Context triple: [Venetian Pool, waterRenewalMethod, draining and refilling from aquifer]
-
A.
waterDistributionMethod
Indicates how water is delivered, supplied, or allocated from a source to its intended recipients or locations.
-
B.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
-
C.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
waterSourceType
Indicates the kind or category of source from which water is obtained.
-
E.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903456ec0819082b8b10755a6b732 |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3e48e08190b2fee43af4f57323 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8dd0ba0f88190b7d5e358c27ca184 |
completed | April 10, 2026, 11:20 a.m. |
Created at: April 8, 2026, 9:45 p.m.