Triple
T14991024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Booster Neutrino Beam |
E373833
|
entity |
| Predicate | feedsDetectorBaseline |
P9008
|
FINISHED |
| Object | hundreds of meters to about 1 kilometer |
—
|
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: hundreds of meters to about 1 kilometer | Statement: [Booster Neutrino Beam, feedsDetectorBaseline, hundreds of meters to about 1 kilometer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: feedsDetectorBaseline Context triple: [Booster Neutrino Beam, feedsDetectorBaseline, hundreds of meters to about 1 kilometer]
-
A.
feedsAccelerator
Indicates that one entity supplies or directs input, resources, or power into an accelerator system for its operation.
-
B.
feedSystem
chosen
Indicates that one entity supplies or provides input, resources, or data into another entity or system for its operation or processing.
-
C.
feedsAt
Indicates that one entity obtains or consumes food at, from, or using another entity (such as a location, source, or feeding apparatus).
-
D.
feedsOn
Indicates that one entity obtains nourishment by consuming another entity as food.
-
E.
feedsReservoir
Indicates that one entity supplies or channels a flow (such as water or another resource) into a reservoir.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded715db408190b44e8a8452c79764 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:53 a.m.