Triple
T28937474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scrophulariaceae |
E730354
|
entity |
| Predicate | someFormerMembersNowIn |
P166041
|
FINISHED |
| Object | Plantaginaceae |
—
|
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: Plantaginaceae | Statement: [Scrophulariaceae, someFormerMembersNowIn, Plantaginaceae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: someFormerMembersNowIn Context triple: [Scrophulariaceae, someFormerMembersNowIn, Plantaginaceae]
-
A.
formerMemberOf
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
-
B.
hasNotableFormerMemberRole
Indicates that an entity has a role or position that was notably held by a former member of that entity.
-
C.
performedByFormerGroupMemberOf
Indicates that an action or event is carried out by an individual who was previously a member of a specified group.
-
D.
formerMemberName
Indicates that the referenced name belongs to an entity that was previously a member of a particular group, organization, or body but is no longer one.
-
E.
hasFormerStaffMember
Indicates that an entity once had a person as a staff member, but that person is no longer employed there.
- 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_69f043ea0aa88190a25acbf46157995a |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65bb75cd08190bbdb63c093ad6210 |
completed | May 2, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
| PDg | Predicate description generation | batch_69f65b136b30819090cf59fb772f35f1 |
completed | May 2, 2026, 8:14 p.m. |
Created at: April 28, 2026, 8:33 a.m.