Triple
T26663282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point State Park Fountain |
E666711
|
entity |
| Predicate | heightOfCentralJet |
P37174
|
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: [Point State Park Fountain, heightOfCentralJet, approximately 150 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightOfCentralJet Context triple: [Point State Park Fountain, heightOfCentralJet, approximately 150 feet]
-
A.
heightOfJet
chosen
Indicates the vertical distance or altitude of a jet relative to a reference point, such as the ground or sea level.
-
B.
hasCentralPylonHeight
Indicates the height measurement of the central pylon in a structure or system.
-
C.
centralMoundHeight
Indicates the height measurement of a central mound relative to a defined reference level.
-
D.
centralArchHeight
Indicates the vertical height of the central arch in a structure relative to a reference level.
-
E.
heightOfCenterpiece
Indicates the measured vertical height of the centerpiece in the given context or arrangement.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f61fd623bc819091df736cf3419b99 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f61b3d23f481908dfec27adace900a |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 2:37 a.m.