Triple
T11619452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Fountain of Montjuïc |
E275598
|
entity |
| Predicate | numberOfWaterJets |
P21647
|
FINISHED |
| Object | over 3600 |
—
|
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 3600 | Statement: [Magic Fountain of Montjuïc, numberOfWaterJets, over 3600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWaterJets Context triple: [Magic Fountain of Montjuïc, numberOfWaterJets, over 3600]
-
A.
maximumHeightOfWaterJets
Indicates the greatest vertical height that the water jets in a system or installation can reach.
-
B.
numberOfNozzles
chosen
Indicates the quantity of nozzles associated with or present on a given entity.
-
C.
numberOfRecordedWaterwheels
Indicates the count of waterwheels that have been documented or recorded for a given entity or context.
-
D.
hasNumberOfPiersInWater
Indicates the quantity of piers that extend into or are situated within a body of water.
-
E.
numberOfWaterRides
Indicates the quantity of water-based rides associated with a given entity.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a047758081908191c1d564409d9a |
completed | April 10, 2026, 7:01 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.