Triple
T11735046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truist Field |
E279003
|
entity |
| Predicate | citySkylineView |
P4219
|
FINISHED |
| Object | Charlotte skyline |
—
|
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: Charlotte skyline | Statement: [Truist Field, citySkylineView, Charlotte skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citySkylineView Context triple: [Truist Field, citySkylineView, Charlotte skyline]
-
A.
cityOverlooks
Indicates that a city has a direct visual view over or across a particular geographic feature, area, or landmark.
-
B.
cityPanorama
chosen
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
-
C.
partOfSkylineOf
Indicates that one entity is a visible component or feature contributing to the overall skyline profile of another entity, typically a city or urban area.
-
D.
cityScene
Indicates a scene or setting that takes place within an urban or city environment.
-
E.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.