Triple
T332314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reflecting Pool |
E6650
|
entity |
| Predicate | viewType |
P11549
|
FINISHED |
| Object | panoramic views of the National Mall |
—
|
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: panoramic views of the National Mall | Statement: [Reflecting Pool, viewType, panoramic views of the National Mall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewType Context triple: [Reflecting Pool, viewType, panoramic views of the National Mall]
-
A.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
B.
viewOnState
Indicates that one entity holds or expresses a particular opinion, stance, or perspective regarding a specific state or condition.
-
C.
windowType
Indicates the specific kind or category of window associated with an entity.
-
D.
viewsGraceAs
Indicates that one entity regards or perceives Grace in a particular way or role.
-
E.
viewVariesAmong
Indicates that the way something is viewed, perceived, or interpreted differs across multiple entities or contexts.
- F. None of above. chosen
Provenance (4 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea09a5e881908b313cb37409a4f9 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.