Triple
T18772467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Messier 11 |
E459048
|
entity |
| Predicate | clusterConcentration |
P132908
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Messier 11, clusterConcentration, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clusterConcentration Context triple: [Messier 11, clusterConcentration, high]
-
A.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
B.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
-
C.
ShapleySawyerConcentrationClass
Indicates the concentration class of a globular cluster as defined by the Shapley–Sawyer system, describing how centrally condensed or diffuse the cluster appears.
-
D.
clusterSizeRange
Indicates the range of allowable or observed sizes for a given cluster within a specified context.
-
E.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59336a6b08190819595a55177264e |
completed | April 20, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69e48d1126e4819099607837ed5aadca |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:52 a.m.