Triple
T22732500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elon Law |
E562171
|
entity |
| Predicate | offersExperientialComponent |
P48639
|
FINISHED |
| Object | clinics |
—
|
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: clinics | Statement: [Elon Law, offersExperientialComponent, clinics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersExperientialComponent Context triple: [Elon Law, offersExperientialComponent, clinics]
-
A.
offersExperientialLearning
chosen
Indicates that one entity provides another with hands-on, practical learning opportunities gained through direct experience.
-
B.
offersProgramComponent
Indicates that an entity provides or makes available a specific program component as part of its offerings.
-
C.
offersOffTrainExperiences
Indicates that an entity provides or arranges activities or services for passengers outside the train itself, typically at destinations or stops along the route.
-
D.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
E.
offersActivity
Indicates that one entity provides or makes available a specific activity for another entity to participate in or use.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1792ef5bc819088af71bdc96ed41b |
completed | April 29, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:21 p.m.