Triple
T33649836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The House of Dancing Water |
E862063
|
entity |
| Predicate | stageCapacity |
P177640
|
FINISHED |
| Object | approximately 3.7 million gallons of 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: approximately 3.7 million gallons of water | Statement: [The House of Dancing Water, stageCapacity, approximately 3.7 million gallons of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stageCapacity Context triple: [The House of Dancing Water, stageCapacity, approximately 3.7 million gallons of water]
-
A.
trackCapacity
Indicates the maximum number of trains or amount of traffic that a specific track segment is designed to handle within a given time period.
-
B.
launcherCapacity
Indicates the maximum number or size of items that a launcher is designed to hold or deploy.
-
C.
standingCapacity
Indicates the maximum number of people that are allowed or able to stand in a given space or vehicle.
-
D.
typicalCapacity
Indicates the usual or standard amount, volume, or capability that something is designed or expected to hold, handle, or perform under normal conditions.
-
E.
seatingCapacity
Indicates the maximum number of people that something (typically a venue or vehicle) is designed or allowed to seat.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7009d39508190af7301f824615e88 |
completed | May 3, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
| PDg | Predicate description generation | batch_69f6ffb7554881908993d6d2ffbcf8f5 |
completed | May 3, 2026, 7:56 a.m. |
Created at: May 1, 2026, 1:42 a.m.