Triple
T22999729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BD+18 2019 |
E572602
|
entity |
| Predicate | hasVariableName |
P150587
|
FINISHED |
| Object | Delta Cancri |
—
|
NE NERFINISHED |
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: Delta Cancri | Statement: [BD+18 2019, hasVariableName, Delta Cancri]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariableName Context triple: [BD+18 2019, hasVariableName, Delta Cancri]
-
A.
hasVariable
Indicates that one entity includes, defines, or is associated with a particular variable.
-
B.
hasVarianceSymbol
Indicates that one entity is associated with, or represented by, a specific variance symbol in a mathematical or statistical context.
-
C.
hasVariableStatus
Indicates that an entity’s status is not fixed but can change over time or under different conditions.
-
D.
hasVariableLength
Indicates that the related entity can vary in size, duration, or extent rather than having a fixed, constant length.
-
E.
hasNameInFormula
Indicates that an entity is referred to by a specific name or symbol within a formula or formal expression.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f6484c8190bfe3f7ea894c43d8 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:50 p.m.