Triple
T26873339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seneca Falls Convention |
E676675
|
entity |
| Predicate | documentModeledOn |
P149676
|
FINISHED |
| Object | United States Declaration of Independence |
—
|
NE NERFINISHED |
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: United States Declaration of Independence | Statement: [Seneca Falls Convention, documentModeledOn, United States Declaration of Independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentModeledOn Context triple: [Seneca Falls Convention, documentModeledOn, United States Declaration of Independence]
-
A.
modeledWith
Indicates that something is represented, simulated, or described using a particular model, method, or modeling technique.
-
B.
documentModel
Indicates that an entity serves as or is associated with a specific structured representation or schema of a document.
-
C.
namespaceModel
Indicates a relationship where a model is defined within, or associated with, a particular namespace or logical grouping.
-
D.
isModelledAfter
chosen
Indicates that one entity is created, designed, or structured based on the form, features, or principles of another entity.
-
E.
modelIn
Indicates that one entity serves as a representation or simulation of 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f160fec819088561cb2020a2b69 |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:34 a.m.