Triple
T11151037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRIBA |
E263783
|
entity |
| Predicate | membershipGrade |
P91746
|
FINISHED |
| Object | fellow |
—
|
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: fellow | Statement: [FRIBA, membershipGrade, fellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membershipGrade Context triple: [FRIBA, membershipGrade, fellow]
-
A.
membershipStatus
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
B.
membershipLevelAbove
Indicates that one entity’s membership level is ranked higher or more privileged than another entity’s membership level.
-
C.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
D.
membershipBased
Indicates that access, participation, or inclusion in something is conditional on holding a membership or belonging to a defined group.
-
E.
membershipDesignation
chosen
Indicates the specific role, title, or status assigned to an entity within a membership or group.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8719e74819095413abc6c79296c |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce71944819089eee9b5c9283cbd |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.