Triple
T3644298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MINOS experiment |
E77259
|
entity |
| Predicate | hasFarDetectorFunction |
P49996
|
FINISHED |
| Object | measure oscillated neutrino spectrum |
—
|
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: measure oscillated neutrino spectrum | Statement: [MINOS experiment, hasFarDetectorFunction, measure oscillated neutrino spectrum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFarDetectorFunction Context triple: [MINOS experiment, hasFarDetectorFunction, measure oscillated neutrino spectrum]
-
A.
hasInterferometer
Indicates that an entity is equipped with or includes an interferometer as part of its components or instrumentation.
-
B.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
C.
hasFocalPlane
Indicates that an optical system or imaging device possesses a specific focal plane where light is brought into focus.
-
D.
hasNearbyFunction
Indicates that one entity has another entity located close by that serves a related or supportive function.
-
E.
numberOfDetectors
Indicates the quantity of detectors associated with or involved in a given entity or system.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc35c28908190b253f4835918a2b4 |
completed | March 8, 2026, 6:43 p.m. |
| PD | Predicate disambiguation | batch_69adb8445b2c8190ab07f6ad4e010d0e |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb8e4ba948190a9b777cf7f788b96 |
completed | March 8, 2026, 5:59 p.m. |
Created at: March 8, 2026, 3:24 p.m.