Triple
T673938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Club Aikido |
E13037
|
entity |
| Predicate | welcomesNewMembers |
P18313
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MIT Club Aikido, welcomesNewMembers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: welcomesNewMembers Context triple: [MIT Club Aikido, welcomesNewMembers, true]
-
A.
memberOf
Indicates that an entity belongs to, is part of, or is a constituent of a larger group, organization, or collection.
-
B.
membershipOpenTo
Indicates that joining or belonging to a group, organization, or category is permitted for the specified entities or audience.
-
C.
eligibleMembers
Indicates that certain entities meet the required criteria or conditions to be considered eligible members of a specified group or category.
-
D.
initialReception
Indicates the nature or quality of the first response or reaction something receives when it is introduced or presented.
-
E.
membershipSpread
Indicates how widely membership in a group, organization, or category is distributed across different entities or locations.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a1b3682c8190a9b9a454480c3446 |
completed | March 1, 2026, 8:29 p.m. |
| PD | Predicate disambiguation | batch_69a49d1a16c48190af89e3b078a4957e |
completed | March 1, 2026, 8:10 p.m. |
| PDg | Predicate description generation | batch_69a4a1b240648190bf15415205399d97 |
completed | March 1, 2026, 8:29 p.m. |
Created at: March 1, 2026, 7:36 p.m.