Triple
T19176057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Place development |
E469438
|
entity |
| Predicate | skylineImpact |
P102013
|
FINISHED |
| Object | significant visual impact on Arlington 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: significant visual impact on Arlington skyline | Statement: [Central Place development, skylineImpact, significant visual impact on Arlington skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skylineImpact Context triple: [Central Place development, skylineImpact, significant visual impact on Arlington skyline]
-
A.
skylineType
Indicates the general visual or structural character of a skyline, such as its dominant form, density, or profile.
-
B.
impactBuilding
Indicates that one entity physically collides with or strikes a building, causing an impact event.
-
C.
都市景観への影響
chosen
Indicates the effect or impact that something has on the appearance, structure, or overall quality of the urban landscape.
-
D.
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.
-
E.
impactBorough
Indicates a relationship where an event, action, or condition has an effect on, or causes consequences for, a specific borough.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6181f0c8190b344072db0b7abbb |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.