Triple
T21571297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birds of New Mexico |
E532288
|
entity |
| Predicate | typeOfDocumentation |
P19006
|
FINISHED |
| Object | faunistic survey |
—
|
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: faunistic survey | Statement: [Birds of New Mexico, typeOfDocumentation, faunistic survey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDocumentation Context triple: [Birds of New Mexico, typeOfDocumentation, faunistic survey]
-
A.
documentationType
chosen
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
B.
documentsTypeOfWork
Indicates that one entity records or specifies the category or type of work associated with another entity.
-
C.
documentsTypeOfStructure
Indicates that an entity records or specifies the particular type or classification of a structure.
-
D.
DOCType
Indicates the type or category of a document associated with an entity or action.
-
E.
documentTypeUsed
Indicates that a particular type or category of document is employed or applied in a given context or activity.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.