Triple
T401517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | drift tube linac |
E9292
|
entity |
| Predicate | fieldConfiguration |
P4754
|
FINISHED |
| Object | axial electric field in gaps |
—
|
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: axial electric field in gaps | Statement: [drift tube linac, fieldConfiguration, axial electric field in gaps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldConfiguration Context triple: [drift tube linac, fieldConfiguration, axial electric field in gaps]
-
A.
fieldType
Indicates the classification or category that defines the nature or kind of a given field within a structure or context.
-
B.
fieldPattern
chosen
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
C.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
D.
formsFeature
Indicates that one entity constitutes or creates a characteristic, component, or distinguishing element of another entity.
-
E.
fieldPresenceIn
Indicates that something exists or is located within a particular field, area, or domain.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec9f77888190bcc2bc68d201ed35 |
completed | Feb. 28, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69a2e96ee4ec8190a5c0e3f491d3963d |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.