Triple
T12448815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Rumsey Monument |
E297473
|
entity |
| Predicate | hasPlaqueTextTopic |
P105072
|
FINISHED |
| Object | James Rumsey’s steamboat demonstration |
—
|
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: James Rumsey’s steamboat demonstration | Statement: [James Rumsey Monument, hasPlaqueTextTopic, James Rumsey’s steamboat demonstration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaqueTextTopic Context triple: [James Rumsey Monument, hasPlaqueTextTopic, James Rumsey’s steamboat demonstration]
-
A.
hasPlaque
Indicates that an entity possesses or displays a plaque, such as a commemorative plate or a deposit on a surface.
-
B.
hasLanguageOnPlaque
Indicates that a specific language appears in the text or inscription displayed on a particular plaque.
-
C.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
D.
hasCommemorativePlaques
Indicates that one entity possesses or displays commemorative plaques associated with it.
-
E.
hasPlate
Indicates that one entity possesses, is equipped with, or includes a plate as part of its attributes or components.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d9511989ac8190ade98f52f66f7cd4 |
completed | April 10, 2026, 7:35 p.m. |
Created at: April 8, 2026, 9:56 p.m.