Triple
T9937906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhabha scattering |
E194001
|
entity |
| Predicate | orderOfInteraction |
P91246
|
FINISHED |
| Object | electromagnetic coupling squared |
—
|
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: electromagnetic coupling squared | Statement: [Bhabha scattering, orderOfInteraction, electromagnetic coupling squared]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfInteraction Context triple: [Bhabha scattering, orderOfInteraction, electromagnetic coupling squared]
-
A.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
B.
selectionOrderInfluencedBy
Indicates that the order in which items are selected is affected or determined by another factor, condition, or entity.
-
C.
primaryInteraction
Indicates the main or most significant interaction occurring between the involved entities.
-
D.
interactionPoint
Indicates a specific location or moment where two or more entities come into contact or engage with each other.
-
E.
orderedExposureOf
Indicates that one entity is exposed or presented to another in a specific, intentional sequence or order.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5e64760819094f599f158d32f33 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:44 p.m.