Triple
T27844287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memoir of the Rev. John Stevens Henslow |
E703771
|
entity |
| Predicate | documentsField |
P165721
|
FINISHED |
| Object | botany |
—
|
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: botany | Statement: [Memoir of the Rev. John Stevens Henslow, documentsField, botany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentsField Context triple: [Memoir of the Rev. John Stevens Henslow, documentsField, botany]
-
A.
documentForm
Indicates the specific format or structural type in which a document is presented or recorded.
-
B.
documentsNow
Indicates that an entity is currently documenting, recording, or writing about another entity at the present time.
-
C.
documentList
Indicates a relationship where one entity serves as a list or collection of documents associated with another entity.
-
D.
documentNumber
Indicates the unique identifying number assigned to a specific document in the relationship.
-
E.
documentsResponseTo
Indicates that one entity records, describes, or formally captures the reply, outcome, or reaction to another entity.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65a6babcc81908052c9907a99c882 |
completed | May 2, 2026, 8:11 p.m. |
Created at: April 27, 2026, 6:05 p.m.