Triple
T14991113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MINOS |
E373836
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | MINOS |
E373836
|
NE 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: MINOS | Statement: [MINOS, acronym, MINOS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MINOS Context triple: [MINOS, acronym, MINOS]
-
A.
MINOS
chosen
MINOS is a long-baseline neutrino oscillation experiment that studied muon neutrino disappearance using a beam from Fermilab to a far detector in Minnesota.
-
B.
MINOS experiment
The MINOS experiment is a long-baseline neutrino oscillation project that studied how neutrinos change type as they travel from Fermilab to a distant underground detector.
-
C.
MINERvA
MINERvA is a high-precision neutrino scattering experiment at Fermilab designed to study neutrino interactions with various nuclear targets to improve understanding of neutrino-nucleus physics.
-
D.
Neutrino
A neutrino is an extremely light, electrically neutral elementary particle that interacts only via the weak nuclear force and gravity, making it very difficult to detect.
-
E.
Meson
Meson is a fast, user-friendly build system designed to simplify and accelerate the compilation of software projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe969842848190a030db797c851fed |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:53 a.m.