Triple
T32516610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFC 5639 |
E831076
|
entity |
| Predicate | curveFamilyName |
P174904
|
FINISHED |
| Object | Brainpool |
—
|
NE NERFINISHED |
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: Brainpool | Statement: [RFC 5639, curveFamilyName, Brainpool]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: curveFamilyName Context triple: [RFC 5639, curveFamilyName, Brainpool]
-
A.
featuresFamilyName
Indicates that an entity is associated with or displays a particular family name.
-
B.
stringFamily
Indicates that one entity belongs to, or is associated with, a particular family or group identified by a string label.
-
C.
lineFamily
Indicates that two entities belong to the same family or lineage associated with a particular line (e.g., a family line or line-based grouping).
-
D.
typeFamily
Indicates that one entity is classified as a family-related type or belongs to a family category in relation to another entity.
-
E.
namedForFamily
Indicates that one entity is named in honor of, or derived from the name of, a particular family or family group.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c90790788190a1ed09adc86ed22d |
completed | May 3, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f42fbc8190a06eb1044c9e6094 |
completed | May 3, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f6c814c26c81908f5c47285129ff2a |
completed | May 3, 2026, 3:59 a.m. |
Created at: May 1, 2026, 1 a.m.