Triple
T1044834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland State House |
E22552
|
entity |
| Predicate | hasDomeHeight |
P6531
|
FINISHED |
| Object | approximately 181 feet |
—
|
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: approximately 181 feet | Statement: [Maryland State House, hasDomeHeight, approximately 181 feet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDomeHeight Context triple: [Maryland State House, hasDomeHeight, approximately 181 feet]
-
A.
hasDomeDecoration
Indicates that an entity’s dome is adorned with specific decorative elements or ornamentation.
-
B.
heightOfDome
chosen
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
-
C.
hasMainDome
Indicates that an entity possesses a primary or central dome as a defining architectural feature.
-
D.
roofHeight
Indicates the vertical distance or elevation of a roof relative to a reference level or structure.
-
E.
hasTowerHeight
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84937688190a5899af2104002df |
completed | March 1, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69a4b72ba60881908b017ef3b2b9645e |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.