Triple
T1095630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VELO |
E24264
|
entity |
| Predicate | readoutType |
P5794
|
FINISHED |
| Object | silicon strip readout |
—
|
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: silicon strip readout | Statement: [VELO, readoutType, silicon strip readout]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readoutType Context triple: [VELO, readoutType, silicon strip readout]
-
A.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
B.
hasReadingType
chosen
Indicates that an entity is associated with a specific category or mode of reading, such as a particular interpretation, format, or type of reading measurement.
-
C.
readBy
Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
-
D.
representationType
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
-
E.
viewType
Indicates the specific manner or format in which something is displayed, presented, or visually arranged.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.