Triple
T18775694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 168454 |
E459126
|
entity |
| Predicate | hasMultiplicity |
P62241
|
FINISHED |
| Object | binaryStarSystem |
—
|
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: binaryStarSystem | Statement: [HD 168454, hasMultiplicity, binaryStarSystem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMultiplicity Context triple: [HD 168454, hasMultiplicity, binaryStarSystem]
-
A.
hasMultiple
chosen
Indicates that an entity is associated with more than one instance or occurrence of another related entity.
-
B.
multiplicity
Indicates the number of instances of one entity that can or must be associated with a single instance of another entity within a relationship.
-
C.
canBeMultiple
Indicates that the related item, value, or association is allowed to occur more than once rather than being restricted to a single instance.
-
D.
hasPlurality
Indicates that an entity or concept exists or is expressed in a plural form rather than a singular one.
-
E.
hasMultipleSubclasses
Indicates that a class or category is related to more than one distinct subclass within a hierarchy.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5933ad4288190b17e5fad57d8417d |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:52 a.m.