Triple
T5052561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fountains of Bellagio |
E113820
|
entity |
| Predicate | maximumWaterHeight |
P21646
|
FINISHED |
| Object | over 100 meters |
—
|
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: over 100 meters | Statement: [Fountains of Bellagio, maximumWaterHeight, over 100 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumWaterHeight Context triple: [Fountains of Bellagio, maximumWaterHeight, over 100 meters]
-
A.
maximumWaterDepth
Indicates the greatest depth of water present or allowed in a given context, such as a location, container, or body of water.
-
B.
maximumHeightOfWaterJets
chosen
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
C.
minimumWaterDepthAboveCrest
Indicates the smallest required depth of water that must be maintained above the crest level of a structure or feature.
-
D.
waterVolume
Indicates the amount of water present in or associated with an entity, typically measured as a volume.
-
E.
waterfallHeight
Indicates the vertical distance or drop in elevation from the top to the bottom of a waterfall.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7428d7a88190b990aedae390acbe |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:37 p.m.