Triple
T16312353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harborside Financial Center |
E396087
|
entity |
| Predicate | skylineViewOf |
P9193
|
FINISHED |
| Object | Lower Manhattan 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: Lower Manhattan skyline | Statement: [Harborside Financial Center, skylineViewOf, Lower Manhattan skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skylineViewOf Context triple: [Harborside Financial Center, skylineViewOf, Lower Manhattan skyline]
-
A.
skylineType
Indicates the general visual or structural character of a skyline, such as its dominant form, density, or profile.
-
B.
hasScenicViewOf
chosen
Indicates that one entity offers a visually appealing or picturesque view of another entity.
-
C.
towerViews
Indicates that a tower provides a view of, or overlooks, a particular place or object.
-
D.
cityView
Indicates that one entity offers a view of, or overlooks, a city.
-
E.
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.
- 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288dc30f48190b508220429b66e92 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fa5508819097e9d383348bf174 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.