Triple
T18880952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yukawa meson theory |
E461823
|
entity |
| Predicate | rangeInverseTo |
P133313
|
FINISHED |
| Object | meson mass |
—
|
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: meson mass | Statement: [Yukawa meson theory, rangeInverseTo, meson mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rangeInverseTo Context triple: [Yukawa meson theory, rangeInverseTo, meson mass]
-
A.
rangeOf
Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
-
B.
rangeVariant
Indicates that one entity is a variant or alternative form within the value range defined or covered by another entity.
-
C.
rangeDirection
Indicates the directional orientation or bearing associated with a specified range between entities.
-
D.
rangeBehavior
Indicates how an entity behaves or operates when interacting with or within a specified range or distance.
-
E.
rangeSize
Indicates the extent or magnitude of the range over which something applies, varies, or is distributed.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d133f08190a482e601c1866662 |
completed | April 20, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69e48d22dde8819093b1d963bd673365 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e4978813d081908eaf25bb727fc6cf |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:57 a.m.