Triple
T13050947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddington number |
E327445
|
entity |
| Predicate | hasThresholdCondition |
P14326
|
FINISHED |
| Object | Γ = 1 corresponds to Eddington limit |
—
|
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: Γ = 1 corresponds to Eddington limit | Statement: [Eddington number, hasThresholdCondition, Γ = 1 corresponds to Eddington limit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThresholdCondition Context triple: [Eddington number, hasThresholdCondition, Γ = 1 corresponds to Eddington limit]
-
A.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
thresholdFor
chosen
Indicates that one entity specifies the minimum or limiting value at which a condition, effect, or state involving another entity begins to occur or change.
-
C.
hasConditionalityLevel
Indicates that one entity is associated with a specific degree or level of conditional requirements, constraints, or dependencies relative to another entity or context.
-
D.
hasNumberOfConditions
Indicates that an entity is associated with a specific count of conditions it has or is subject to.
-
E.
containsCondition
Indicates that one entity includes, embodies, or is associated with a particular condition.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98a9829b48190b23624b6b3df4600 |
completed | April 10, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69d9803aca4c8190b1015cd159cc47a9 |
completed | April 10, 2026, 10:56 p.m. |
Created at: April 9, 2026, 8:57 p.m.