Triple
T3501435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckingham Fountain |
E73976
|
entity |
| Predicate | maximumWaterJetHeight |
P21646
|
FINISHED |
| Object | approximately 150 feet |
—
|
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 150 feet | Statement: [Buckingham Fountain, maximumWaterJetHeight, approximately 150 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumWaterJetHeight Context triple: [Buckingham Fountain, maximumWaterJetHeight, approximately 150 feet]
-
A.
maximumHeightOfWaterJets
chosen
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
B.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
C.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
-
D.
heightOfJet
Indicates the vertical distance or altitude of a jet relative to a reference point, such as the ground or sea level.
-
E.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure or feature.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd5fbe8819091b61fa8df355f0c |
completed | March 8, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.