Triple
T5410600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma Cluster |
E121002
|
entity |
| Predicate | richnessClass |
P56971
|
FINISHED |
| Object | rich cluster |
—
|
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: rich cluster | Statement: [Norma Cluster, richnessClass, rich cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: richnessClass Context triple: [Norma Cluster, richnessClass, rich cluster]
-
A.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
-
B.
isRichCluster
chosen
Indicates that a given cluster possesses the properties and characteristics of a rich cluster (e.g., high galaxy density and mass).
-
C.
eraClassification
Indicates the historical era or time period into which an entity is categorized or classified.
-
D.
concentrationClass
Indicates the classification of an entity based on the level or range of its concentration.
-
E.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
- 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_69bd463a41cc8190b32ff5af2b96ca93 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87985ee0819092a9a5cd6a948138 |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.