Triple
T210622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bekenstein–Hawking entropy |
E4708
|
entity |
| Predicate | hasLeadingTerm |
P2920
|
FINISHED |
| Object | area divided by 4 in Planck units |
—
|
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: area divided by 4 in Planck units | Statement: [Bekenstein–Hawking entropy, hasLeadingTerm, area divided by 4 in Planck units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeadingTerm Context triple: [Bekenstein–Hawking entropy, hasLeadingTerm, area divided by 4 in Planck units]
-
A.
hasTerm
chosen
Indicates that an entity includes, is associated with, or is defined by a specific term or condition.
-
B.
hasLeader
Indicates that one entity serves as the leader or head of another entity.
-
C.
isLargestOf
Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
-
D.
hasTopLevel
Indicates that one entity is the highest or primary element within a hierarchy or structure relative to another entity.
-
E.
hasNonStandardForm
Indicates that an entity possesses a form, variant, or representation that deviates from the standard, canonical, or commonly accepted form.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b4f71b88190866c8262922ae204 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.