Triple
T6016026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgo Supercluster |
E133950
|
entity |
| Predicate | numberOfGalaxies |
P23278
|
FINISHED |
| Object | over 100 galaxy groups and clusters |
—
|
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: over 100 galaxy groups and clusters | Statement: [Virgo Supercluster, numberOfGalaxies, over 100 galaxy groups and clusters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGalaxies Context triple: [Virgo Supercluster, numberOfGalaxies, over 100 galaxy groups and clusters]
-
A.
approximateNumberOfGalaxies
chosen
Indicates an estimated or roughly calculated count of galaxies associated with a given subject.
-
B.
numberOfGlobularClusters
Indicates the quantitative relationship specifying how many globular clusters are associated with a given astronomical object or system.
-
C.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
D.
numberOfConstellations
Indicates the total count of constellations associated with a given subject.
-
E.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f82dd688190ad8882d8fb547cb5 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.