Triple
T192777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z boson |
E3755
|
entity |
| Predicate | gaugeGroup |
P5369
|
FINISHED |
| Object | SU(2)_L × U(1)_Y |
—
|
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: SU(2)_L × U(1)_Y | Statement: [Z boson, gaugeGroup, SU(2)_L × U(1)_Y]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gaugeGroup Context triple: [Z boson, gaugeGroup, SU(2)_L × U(1)_Y]
-
A.
trackGauge
Indicates the distance between the inner faces of the rails in a railway track system.
-
B.
isGaugeBosonOf
Indicates that one particle serves as the gauge boson mediating the fundamental interaction associated with another entity (such as a force or symmetry group).
-
C.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
-
D.
hasGate
Indicates that one entity possesses, includes, or is equipped with a gate as part of its structure or configuration.
-
E.
arrowCount
Indicates the number of arrows associated with or involved in a given entity or interaction.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a259669ba08190a5be1d2e10e70b27 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a2567567508190b3a41329a15c7156 |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a25710bdfc81909b6697159104cf53 |
completed | Feb. 28, 2026, 2:46 a.m. |
Created at: Feb. 28, 2026, 2:41 a.m.