Triple
T32947293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muscat de Hambourg |
E842840
|
entity |
| Predicate | hasClusterDensity |
P12090
|
FINISHED |
| Object | compact |
—
|
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: compact | Statement: [Muscat de Hambourg, hasClusterDensity, compact]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClusterDensity Context triple: [Muscat de Hambourg, hasClusterDensity, compact]
-
A.
clusterDensity
chosen
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
B.
hasCentralDensity
Indicates that an entity possesses a specified value for its density at the central or core region.
-
C.
hasClusterRadius
Indicates the radius or spatial extent associated with a particular cluster.
-
D.
hasCluster
Indicates that one entity possesses, contains, or is associated with a specific cluster or grouping of related elements.
-
E.
clusterConcentration
Indicates how densely the elements within a cluster are packed or distributed relative to one another.
- 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 1, 2026, 1:21 a.m.