Triple
T11317247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6205 |
E267997
|
entity |
| Predicate | shapleySawyerConcentrationClass |
P40627
|
FINISHED |
| Object | V |
—
|
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: V | Statement: [NGC 6205, shapleySawyerConcentrationClass, V]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shapleySawyerConcentrationClass Context triple: [NGC 6205, shapleySawyerConcentrationClass, V]
-
A.
ShapleySawyerConcentrationClass
chosen
Indicates the concentration class of a globular cluster as defined by the Shapley–Sawyer system, describing how centrally condensed or diffuse the cluster appears.
-
B.
concentrationClass
Indicates the classification of an entity based on the level or range of its concentration.
-
C.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
D.
classificationConsensus
Indicates that multiple agents or sources agree on the same classification or category assignment for a given entity or item.
-
E.
arealCluster
Indicates that entities belong to the same spatially contiguous or closely grouped geographic area.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c3cf748190987838029d9f7fff |
completed | April 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69d787ad575081908274280bf75d95fd |
completed | April 9, 2026, 11:04 a.m. |
Created at: April 8, 2026, 9:32 p.m.