Triple
T1095635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VELO |
E24264
|
entity |
| Predicate | distanceToBeam |
P7750
|
FINISHED |
| Object | few millimetres from beam during operation |
—
|
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: few millimetres from beam during operation | Statement: [VELO, distanceToBeam, few millimetres from beam during operation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToBeam Context triple: [VELO, distanceToBeam, few millimetres from beam during operation]
-
A.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
B.
distanceFromEarth
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
C.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
D.
distanceFromSunToWall
Indicates the measured spatial distance between the Sun and a specified wall.
-
E.
distanceFromEarthCenter
Indicates the measured or calculated spatial distance between an entity and the center of the Earth.
- 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.