Triple
T673939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MIT Club Aikido |
E13037
|
entity |
| Predicate | allowsNoPriorExperience |
P18314
|
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, allowsNoPriorExperience, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsNoPriorExperience Context triple: [MIT Club Aikido, allowsNoPriorExperience, true]
-
A.
doesNotApplyRetroactivelyTo
Indicates that a rule, law, or condition does not affect events, actions, or situations that occurred before it came into effect.
-
B.
cannotIntroduce
Indicates that one entity is not permitted or able to introduce another entity (such as a person, concept, or item) into a given context or to a third party.
-
C.
isNotRequiredFor
Indicates that one entity is not necessary or mandatory for the existence, occurrence, validity, or completion of another entity or process.
-
D.
allowsNonScholarshipPrograms
Indicates that an entity permits the operation or participation of programs that do not offer scholarships.
-
E.
doesNotParticipateIn
Indicates that an entity is explicitly not involved in, associated with, or taking part in a specified activity, event, or process.
- 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.