Triple
T4617706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Cluster |
E100905
|
entity |
| Predicate | isRichCluster |
P56971
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Double Cluster, isRichCluster, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRichCluster Context triple: [Double Cluster, isRichCluster, true]
-
A.
hasRich
Indicates that an entity possesses or is characterized by a high level of wealth, abundance, or valuable resources.
-
B.
richIn
Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
-
C.
isNearestProminentClusterMemberOf
Indicates that an entity is the closest significant member within a cluster relative to another specified entity or reference point.
-
D.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
E.
hasITCluster
Indicates that an entity possesses, hosts, or is associated with a specific information technology (IT) cluster.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e098c08190b769e76937dff700 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.