Triple
T22069955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nearby Galaxies Catalog |
E545377
|
entity |
| Predicate | typeOfDataSet |
P48728
|
FINISHED |
| Object | compiled catalog |
—
|
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: compiled catalog | Statement: [Nearby Galaxies Catalog, typeOfDataSet, compiled catalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDataSet Context triple: [Nearby Galaxies Catalog, typeOfDataSet, compiled catalog]
-
A.
dataTypes
Indicates that one entity specifies or defines the kinds or formats of data that are valid or expected for another entity.
-
B.
analyzesDataType
Indicates that one entity examines, interprets, or evaluates a particular type or category of data.
-
C.
datumType
Indicates the specific kind or category of data that characterizes or classifies a datum.
-
D.
typeOfSets
chosen
Indicates that one entity specifies or classifies the kind or category of sets to which another entity belongs.
-
E.
dataTypeModel
Indicates that one entity serves as the data type or schema model that defines the structure or format of another entity.
- 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_69e11e344dfc81909b1d88a7221329c7 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1288724e881908b38fe7e56d3b448 |
completed | April 28, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69e6f64a6a70819089d1a6c3a2384861 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:28 p.m.