Triple
T31490996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1860 United States census |
E803401
|
entity |
| Predicate | paperFormsUsed |
P77226
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [1860 United States census, paperFormsUsed, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paperFormsUsed Context triple: [1860 United States census, paperFormsUsed, yes]
-
A.
paperFormAvailability
chosen
Indicates whether something is available or provided in a physical paper format.
-
B.
paperFormat
Indicates the specific size or layout standard in which a paper document is produced or presented.
-
C.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
-
D.
paperArchive
Indicates that a paper is stored, preserved, or made available within a particular archive or archival system.
-
E.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1e4ca4881908146cb7b170209d6 |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:38 p.m.