Triple
T1196350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Micromegas detectors |
E25675
|
entity |
| Predicate | readoutSegmentation |
P19649
|
FINISHED |
| Object | two-dimensional possible |
—
|
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: two-dimensional possible | Statement: [Micromegas detectors, readoutSegmentation, two-dimensional possible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readoutSegmentation Context triple: [Micromegas detectors, readoutSegmentation, two-dimensional possible]
-
A.
readout
Indicates that one entity reports, displays, or outputs the measured or computed value of another entity.
-
B.
segmentation
chosen
Indicates dividing something into distinct parts or segments based on certain criteria or boundaries.
-
C.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
D.
readBy
Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
-
E.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd7a756c819085d695acfffeaceb |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5d40a08190b7682d8ef8075421 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.