Triple
T353031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Air Force Memorial |
E7482
|
entity |
| Predicate | viewpointFor |
P9787
|
FINISHED |
| Object | Washington, D.C. 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: Washington, D.C. skyline | Statement: [Air Force Memorial, viewpointFor, Washington, D.C. skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewpointFor Context triple: [Air Force Memorial, viewpointFor, Washington, D.C. skyline]
-
A.
viewpointFrom
chosen
Indicates a relationship where something is observed, depicted, or described from the perspective or location of a particular entity or point.
-
B.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
opinionBy
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
D.
viewOnHumanity
Indicates a stance, opinion, or overall perspective that an entity holds regarding humanity as a whole.
-
E.
viewOfGod
Indicates a relationship where an entity holds a particular conception, perspective, or understanding of God.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb80f524819093f4c2c18c3d615f |
completed | Feb. 28, 2026, 1:20 p.m. |
| PD | Predicate disambiguation | batch_69a2e9571bd88190b6fcb16f21604720 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.