Triple
T15607627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MINERvA |
E375200
|
entity |
| Predicate | hasPhysicsProgram |
P119421
|
FINISHED |
| Object | neutrino mode running |
—
|
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: neutrino mode running | Statement: [MINERvA, hasPhysicsProgram, neutrino mode running]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhysicsProgram Context triple: [MINERvA, hasPhysicsProgram, neutrino mode running]
-
A.
hasEducationalProgram
Indicates that an entity offers, runs, or is associated with a specific educational program.
-
B.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
C.
hasCadetProgram
Indicates that an organization or entity offers or operates a cadet program for training or development.
-
D.
hasMajorProgram
Indicates that an educational institution offers a specific field of study as a primary academic program.
-
E.
hasExtracurricularProgram
Indicates that an institution or organization offers one or more organized extracurricular programs or activities beyond its primary curriculum or mission.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69deda844af081909e658ebc9d9b403d |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f05f708190850f1d8782e132b0 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:13 a.m.