Triple

T15607622
Position Surface form Disambiguated ID Type / Status
Subject MINERvA E375200 entity
Predicate collaboratesWith P37 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: [MINERvA, collaboratesWith, MINOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MINOS
Context triple: [MINERvA, collaboratesWith, 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. MiniBooNE
    MiniBooNE is a neutrino physics experiment at Fermilab designed to investigate neutrino oscillations and probe anomalies in short-baseline neutrino behavior.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:13 a.m.