Triple
T680118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linac2 |
E13162
|
entity |
| Predicate | replacedComponent |
P15456
|
FINISHED |
| Object | Linac1 as main proton injector |
—
|
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: Linac1 as main proton injector | Statement: [Linac2, replacedComponent, Linac1 as main proton injector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedComponent Context triple: [Linac2, replacedComponent, Linac1 as main proton injector]
-
A.
replacedEntity
chosen
Indicates that one entity has been substituted for, or taken the place of, another entity in a given context.
-
B.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
C.
replacedInterface
Indicates that one interface has been substituted or superseded by another interface.
-
D.
replacedStructure
Indicates that one structure has been substituted for, or taken the place of, another structure.
-
E.
replacedBody
Indicates that one entity has taken the place of another entity’s body, substituting it in whole or in part.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04f4efc819082767a7517fa760a |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1d79608190a849ba9ffad2879d |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.