Triple
T11946902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Venetian Pool |
E284320
|
entity |
| Predicate | drainFrequency |
P102409
|
FINISHED |
| Object | daily or nearly daily in peak season |
—
|
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: daily or nearly daily in peak season | Statement: [Venetian Pool, drainFrequency, daily or nearly daily in peak season]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: drainFrequency Context triple: [Venetian Pool, drainFrequency, daily or nearly daily in peak season]
-
A.
drainedSince
Indicates that one entity has had its contents or resources removed starting from a specific point in time.
-
B.
drainedDuring
Indicates that one entity had its resources, energy, or contents depleted in the course of another event or process.
-
C.
drainedFor
Indicates that a resource, substance, or energy is removed from one entity for the benefit, use, or purpose of another entity.
-
D.
drainageStatus
Indicates the condition or effectiveness of water removal or runoff from an area, surface, or system.
-
E.
drainsPartOf
Indicates that one entity carries off or removes liquid or fluid from a specific part or portion of another entity.
- 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.