Triple
T18738954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hall C |
E458238
|
entity |
| Predicate | beamProperty |
P133359
|
FINISHED |
| Object | high duty factor |
—
|
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: high duty factor | Statement: [Hall C, beamProperty, high duty factor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beamProperty Context triple: [Hall C, beamProperty, high duty factor]
-
A.
beamParticle
Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
-
B.
beamName
Indicates that an entity has or is associated with a specific beam identifier or label.
-
C.
beamDynamicsFeature
Indicates a characteristic or aspect related to the behavior, motion, or interaction of beams within a dynamic system.
-
D.
beamLine
Indicates a relationship where one entity directs or projects a beam or focused line (such as light, energy, or signal) toward another entity.
-
E.
beam_m
Indicates that one entity directs or projects a beam (such as light, energy, or radiation) toward another entity.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ca990819098102f8522ce401f |
completed | April 20, 2026, 12:42 a.m. |
| PD | Predicate disambiguation | batch_69e48d03766c8190a43f7681842f4f8d |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:51 a.m.