Triple
T19261675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6712 |
E481662
|
entity |
| Predicate | structuralConcentrationClass |
P60326
|
FINISHED |
| Object | IX |
—
|
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: IX | Statement: [NGC 6712, structuralConcentrationClass, IX]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structuralConcentrationClass Context triple: [NGC 6712, structuralConcentrationClass, IX]
-
A.
concentrationClass
chosen
Indicates the classification of an entity based on the level or range of its concentration.
-
B.
clusterConcentration
Indicates how densely the elements within a cluster are packed or distributed relative to one another.
-
C.
clusterStructure
Indicates that multiple entities are organized into a cluster, specifying how the elements are grouped and related within that clustered arrangement.
-
D.
structureFocus
Indicates that attention or emphasis is placed on the structural aspects or organization of something within the described context.
-
E.
concentration
Indicates the degree to which a substance or entity is present within a given medium, mixture, or space.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
| PD | Predicate disambiguation | batch_69e4dd07a7208190afcd51ba1dc87c33 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:28 p.m.