Triple
T265304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class IV: Natural Sciences |
E5708
|
entity |
| Predicate | typeOfMembers |
P121
|
FINISHED |
| Object | fellows |
—
|
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: fellows | Statement: [Class IV: Natural Sciences, typeOfMembers, fellows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMembers Context triple: [Class IV: Natural Sciences, typeOfMembers, fellows]
-
A.
typicalMembers
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
B.
hasMemberType
chosen
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
C.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
D.
hasListOfMembers
Indicates that an entity is associated with a collection containing its members or constituents.
-
E.
hasMemberCountType
Indicates the type or classification used to describe how the number of members in a group or collection is represented.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6f60b081908fc6467800a8849e |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.