Triple
T5399436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relativistic Heavy Ion Collider |
E120736
|
entity |
| Predicate | ringCircumference |
P5331
|
FINISHED |
| Object | 3834 meters |
—
|
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: 3834 meters | Statement: [Relativistic Heavy Ion Collider, ringCircumference, 3834 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ringCircumference Context triple: [Relativistic Heavy Ion Collider, ringCircumference, 3834 meters]
-
A.
circumference
chosen
Indicates the total length around the boundary of a closed curve, typically a circle, relating a shape to the measure of its perimeter.
-
B.
ringRadius
Indicates the size of a ring by specifying the distance from its center to its outer edge.
-
C.
baseCircumference
Indicates the circumference measurement of the base of an object or geometric figure.
-
D.
tunnelCircumference
Indicates the circular distance around the inner boundary of a tunnel’s cross-section.
-
E.
sphereDiameter
Indicates the measurement of the distance across a sphere passing through its center, relating the sphere to its diameter.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.