Triple
T6058201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silicon Strip Detector |
E134965
|
entity |
| Predicate | stripPitch |
P68024
|
FINISHED |
| Object | typically between 20 and 100 micrometers |
—
|
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: typically between 20 and 100 micrometers | Statement: [Silicon Strip Detector, stripPitch, typically between 20 and 100 micrometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stripPitch Context triple: [Silicon Strip Detector, stripPitch, typically between 20 and 100 micrometers]
-
A.
hasPitch
Indicates that one entity possesses or is characterized by a specific pitch (such as a tonal, acoustic, or frequency-related property).
-
B.
pitchConvertedTo
Indicates that one pitch has been transformed or translated into another pitch or pitch representation.
-
C.
hasPitchLength
Indicates that an entity (such as a field or pitch) is associated with a specific measurement of its length.
-
D.
regulationPitch
Indicates that an entity controls, adjusts, or maintains the pitch (e.g., frequency or perceived highness/lowness) of another entity or signal.
-
E.
seatPitch
Indicates the distance between a seat and the seat directly in front of it, typically measuring legroom or spacing in a seating arrangement.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:10 p.m.