Triple
T32145162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Student Union |
E821004
|
entity |
| Predicate | oftenStructuredAs |
P4786
|
FINISHED |
| Object | membership-based organization |
—
|
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: membership-based organization | Statement: [Black Student Union, oftenStructuredAs, membership-based organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenStructuredAs Context triple: [Black Student Union, oftenStructuredAs, membership-based organization]
-
A.
organizedAs
chosen
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
B.
commonStructure
Indicates that two or more entities share the same or a very similar internal organization, pattern, or arrangement.
-
C.
traditionalStructureIncludes
Indicates that a traditional structure contains, incorporates, or is composed of the specified component or element.
-
D.
issueStructure
Indicates that one entity defines, organizes, or determines the structural form or configuration of another entity.
-
E.
traditionalStructure
Indicates that something follows or embodies a customary, historically established form, pattern, or organizational framework.
- 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_69f3490520d081909b2f1271dab75faa |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 12:31 a.m.