Triple
T6058203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Strip Detector |
E134965
|
entity |
| Predicate | signalGeneration |
P40631
|
FINISHED |
| Object | ionization by charged particles |
—
|
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: ionization by charged particles | Statement: [Silicon Strip Detector, signalGeneration, ionization by charged particles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: signalGeneration Context triple: [Silicon Strip Detector, signalGeneration, ionization by charged particles]
-
A.
signalGenerationMethod
Indicates the method or technique used to produce or generate a signal in a given context.
-
B.
signalType
Indicates the specific kind or category of signal associated with or used by an entity or interaction.
-
C.
signalContent
Indicates that one entity is the informational content or message carried, conveyed, or represented by a signal produced or transmitted by another entity.
-
D.
signalOrigin
chosen
Indicates that one entity is the source or starting point from which a signal is generated or transmitted to others.
-
E.
signalProperty
Indicates that one entity has a specific characteristic, attribute, or feature related to a signal.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570d00e88190b2d8d596e40378d9 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:10 p.m.