Triple
T13693290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junior Common Room |
E328317
|
entity |
| Predicate | mayCollect |
P28195
|
FINISHED |
| Object | membership fees |
—
|
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 fees | Statement: [Junior Common Room, mayCollect, membership fees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayCollect Context triple: [Junior Common Room, mayCollect, membership fees]
-
A.
canCollect
chosen
Indicates that one entity has the ability or permission to gather, receive, or take possession of another entity.
-
B.
canIncidentallyCollect
Indicates that one entity is able to gather or obtain another entity or its data as an unintended or secondary consequence of some primary action or process.
-
C.
mayHold
Indicates that one entity is permitted or allowed to possess, contain, or maintain another entity.
-
D.
mayRequest
Indicates that one entity is permitted or authorized to make a request to another entity or for a particular resource or action.
-
E.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc8757b648190a26181efbad09a43 |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.