Triple
T3742303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germantown, Colony of Virginia, British America |
E79729
|
entity |
| Predicate | foundInDocuments |
P20232
|
FINISHED |
| Object | biographies of John Marshall |
—
|
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: biographies of John Marshall | Statement: [Germantown, Colony of Virginia, British America, foundInDocuments, biographies of John Marshall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundInDocuments Context triple: [Germantown, Colony of Virginia, British America, foundInDocuments, biographies of John Marshall]
-
A.
foundInVolume
chosen
Indicates that one entity is physically or logically contained within, or occurs in, a specific volume (such as a book volume, data volume, or bounded collection).
-
B.
finds
Indicates that one entity discovers, locates, or comes upon another entity, often as the result of a search or encounter.
-
C.
documentAtIssue
Indicates that a particular document is the specific item under consideration or dispute in a given context or proceeding.
-
D.
foundInCodexWith
Indicates that one entity is documented together with another entity within the same codex or manuscript.
-
E.
usedDocument
Indicates that one entity has employed, referenced, or otherwise made use of a particular document in performing an action or fulfilling a purpose.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb563fac8190b6a55580d0386e8a |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.