Triple
T192538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOTEM |
E3750
|
entity |
| Predicate | studiesEnergyDependenceOf |
P1945
|
FINISHED |
| Object | proton–proton total cross section |
—
|
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 total cross section | Statement: [TOTEM, studiesEnergyDependenceOf, proton–proton total cross section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesEnergyDependenceOf Context triple: [TOTEM, studiesEnergyDependenceOf, proton–proton total cross section]
-
A.
typicalEnergyRange
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
B.
designedCenterOfMassEnergy
Indicates that one entity specifies the intended or planned center-of-mass energy at which another entity (such as an experiment, collider, or process) is meant to operate.
-
C.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
D.
injectionEnergyTo
Indicates the amount of energy transferred or supplied from one entity to another through an injection process.
-
E.
studiedBy
chosen
Indicates that a subject (such as a field, topic, or object) is examined, researched, or learned by an agent (such as a person or group).
- 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.