Triple
T192383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMS |
E3747
|
entity |
| Predicate | dataType |
P4241
|
FINISHED |
| Object | proton–proton collision data |
—
|
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: proton–proton collision data | Statement: [CMS, dataType, proton–proton collision data]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataType Context triple: [CMS, dataType, proton–proton collision data]
-
A.
dataTypeCollected
chosen
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
B.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
C.
codeType
Indicates the classification or category assigned to a particular code within a coding or encoding system.
-
D.
typeOfBody
Indicates that one entity is the classification or kind of physical body that the other entity is.
-
E.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.