Triple
T26211339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau Ceti c |
E655497
|
entity |
| Predicate | systemMultiplicity |
P69290
|
FINISHED |
| Object | part of a multi-planet candidate system |
—
|
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: part of a multi-planet candidate system | Statement: [Tau Ceti c, systemMultiplicity, part of a multi-planet candidate system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systemMultiplicity Context triple: [Tau Ceti c, systemMultiplicity, part of a multi-planet candidate system]
-
A.
multiplicity
chosen
Indicates the number of instances of one entity that can or must be associated with a single instance of another entity within a relationship.
-
B.
hasMultiplePhysicalInstances
Indicates that a single conceptual entity is realized or exists as more than one distinct physical instance.
-
C.
multipleWorkingSystem
Indicates that an entity is associated with or operates within more than one working system simultaneously.
-
D.
isUnifiedSystem
Indicates that multiple components or elements function together as a single, coherent, integrated system.
-
E.
multipleAccess
Indicates that an entity can be accessed or used by more than one agent, user, or process, either simultaneously or sequentially.
- 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_69ee5b49adb4819086545280d4ef6337 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 26, 2026, 8:52 p.m.