Triple
T4928345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Statue of George Washington at Federal Hall |
E110630
|
entity |
| Predicate | hasPedestal |
P52188
|
FINISHED |
| Object | granite pedestal |
—
|
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: granite pedestal | Statement: [Statue of George Washington at Federal Hall, hasPedestal, granite pedestal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedestal Context triple: [Statue of George Washington at Federal Hall, hasPedestal, granite pedestal]
-
A.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
B.
hasPlinth
chosen
Indicates that one object is supported by or mounted on a plinth (a base or pedestal).
-
C.
hasPedal
Indicates that one entity possesses or is equipped with a pedal or pedals used for operation or control.
-
D.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
-
E.
hasMezzanine
Indicates that one entity includes or is equipped with a mezzanine level in relation to another entity.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7038c12c81908a793b4a8768c28a |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.