Triple
T9486510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Histoire naturelle des oiseaux de l’Amérique Septentrionale |
E228774
|
entity |
| Predicate | descriptiveScope |
P14851
|
FINISHED |
| Object | morphology of birds |
—
|
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: morphology of birds | Statement: [Histoire naturelle des oiseaux de l’Amérique Septentrionale, descriptiveScope, morphology of birds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: descriptiveScope Context triple: [Histoire naturelle des oiseaux de l’Amérique Septentrionale, descriptiveScope, morphology of birds]
-
A.
isDescriptive
Indicates that one entity provides a description or characterization of another entity.
-
B.
scopeType
Indicates the specific range, level, or context within which a given relationship, rule, or action is defined or applies.
-
C.
scopeDetail
chosen
Indicates a more specific or refined characterization of the extent, boundaries, or coverage of something within a broader scope.
-
D.
describedIn
Indicates that information about an entity is contained or documented within a specified source, such as a text, document, or media.
-
E.
acquisitionScope
Indicates the extent, boundaries, or coverage of what is obtained or brought under control through an acquisition.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd8051303881909566126a2688e41c |
completed | April 1, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.