Triple
T12849737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lewis Institute |
E307278
|
entity |
| Predicate | offeredProgramsIn |
P2581
|
FINISHED |
| Object | engineering |
—
|
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: engineering | Statement: [Lewis Institute, offeredProgramsIn, engineering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredProgramsIn Context triple: [Lewis Institute, offeredProgramsIn, engineering]
-
A.
offersProgramsIn
chosen
Indicates that an institution or provider makes educational or training programs available in a particular field, subject, or area.
-
B.
offersCreativePrograms
Indicates that an entity provides or makes available programs or activities designed to foster creativity or artistic expression for another entity or audience.
-
C.
offersProgram
Indicates that an entity provides or makes available a specific program (such as a course, curriculum, or initiative).
-
D.
offersProfessionalPrograms
Indicates that an entity provides formal, career-oriented educational or training programs to others.
-
E.
programOffered
Indicates that a particular program is made available or provided by a given entity (such as an institution, organization, or provider).
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:36 p.m.