Triple
T19931809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 9 Sagittarii |
E479070
|
entity |
| Predicate | primaryComponentType |
P28113
|
FINISHED |
| Object | O-type main-sequence star |
—
|
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: O-type main-sequence star | Statement: [9 Sagittarii, primaryComponentType, O-type main-sequence star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryComponentType Context triple: [9 Sagittarii, primaryComponentType, O-type main-sequence star]
-
A.
primaryComponent
Indicates that one entity serves as the main or most important component within another entity or system.
-
B.
primaryType
chosen
Indicates the main or most fundamental category or classification assigned to an entity, distinguishing it from any secondary or auxiliary types.
-
C.
primaryTargetType
Indicates the main category or type of entity that is the principal focus or intended recipient of an action, effect, or operation.
-
D.
primaryResourceType
Indicates the main or predominant type/category of resource associated with an entity or activity.
-
E.
primaryElement
Indicates that one element is the main or most important component within a set, structure, or context relative to other associated elements.
- 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65a13ebc08190a583aa4c5e9f6648 |
completed | April 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69e537f070b481908958e0e5911dcdc1 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:53 p.m.