Triple
T1535941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | special relativity |
E32548
|
entity |
| Predicate | hasKeyEquation |
P14117
|
FINISHED |
| Object | E = mc^2 |
—
|
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: E = mc^2 | Statement: [special relativity, hasKeyEquation, E = mc^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyEquation Context triple: [special relativity, hasKeyEquation, E = mc^2]
-
A.
hasKeyElement
Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
-
B.
hasKeyRelationship
Indicates a relationship where one entity serves as a key (e.g., identifier, access token, or primary reference) that grants access to, controls, or uniquely identifies another entity.
-
C.
hasKeyFigure
Indicates that an entity includes, involves, or is characterized by an important or central person relevant to it.
-
D.
hasEquivalent
Indicates that two entities are considered equal in value, meaning, or function within a given context.
-
E.
hasKeyAspect
chosen
Indicates that something possesses a central, defining, or particularly important feature or characteristic.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.