Triple
T8182721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Post Office Building, Washington, D.C. |
E191104
|
entity |
| Predicate | towerViews |
P81314
|
FINISHED |
| Object | panoramic views of Washington, D.C. |
—
|
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 Washington, D.C. | Statement: [Old Post Office Building, Washington, D.C., towerViews, panoramic views of Washington, D.C.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerViews Context triple: [Old Post Office Building, Washington, D.C., towerViews, panoramic views of Washington, D.C.]
-
A.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
B.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
C.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
D.
towerColor
Indicates the color attribute associated with a tower in the relationship.
-
E.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
- 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_69ca82c4538081909404325aa5639483 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4db8748190aa785e0c70fac497 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.