Triple
T7489951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planck energy |
E176979
|
entity |
| Predicate | correspondsToMass |
P76545
|
FINISHED |
| Object | Planck mass via E = m c^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: Planck mass via E = m c^2 | Statement: [Planck energy, correspondsToMass, Planck mass via E = m c^2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondsToMass Context triple: [Planck energy, correspondsToMass, Planck mass via E = m c^2]
-
A.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
B.
hasMassScale
Indicates that an entity is associated with a particular mass measurement scale or system used to quantify its mass.
-
C.
obtainsMassVia
Indicates that an entity acquires its mass through a specified process, mechanism, or interaction.
-
D.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
E.
hasMassBaseAmong
Indicates that one entity possesses a fundamental or baseline mass value when considered among a specified group or context.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f55bdb3481908653b46eafba011d |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:43 p.m.