Triple
T1014580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laniakea Supercluster |
E21901
|
entity |
| Predicate | approximateNumberOfGalaxies |
P23278
|
FINISHED |
| Object | 100000 |
—
|
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: 100000 | Statement: [Laniakea Supercluster, approximateNumberOfGalaxies, 100000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfGalaxies Context triple: [Laniakea Supercluster, approximateNumberOfGalaxies, 100000]
-
A.
approximateStellarCount
Indicates an estimated or rough number of stars associated with a given astronomical object or region.
-
B.
numberOfGlobularClusters
Indicates the quantitative relationship specifying how many globular clusters are associated with a given astronomical object or system.
-
C.
numberOfStarsInConstellation
Indicates the numerical count of stars that belong to a given constellation.
-
D.
oneOfClosestLargeGalaxiesTo
Indicates that the subject is among the nearest galaxies of relatively large size to the specified reference object or location.
-
E.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
- F. None of above. chosen
Provenance (4 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b72207c08190a3dbb2aa7acbbc71 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.