Triple
T2210002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adjutant General of the Continental Army |
E50891
|
entity |
| Predicate | usedDocumentType |
P24327
|
FINISHED |
| Object | general orders |
—
|
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: general orders | Statement: [Adjutant General of the Continental Army, usedDocumentType, general orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedDocumentType Context triple: [Adjutant General of the Continental Army, usedDocumentType, general orders]
-
A.
documentTypeUsed
chosen
Indicates that a particular type or category of document is employed or applied in a given context or activity.
-
B.
usedDocument
Indicates that one entity has employed, referenced, or otherwise made use of a particular document in performing an action or fulfilling a purpose.
-
C.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
D.
documentTypeProduced
Indicates that one entity produces, generates, or creates a document of a specified type.
-
E.
documentTypeIncluded
Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.