Triple
T14387581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crljenak Kaštelanski |
E356764
|
entity |
| Predicate | clusterSize |
P81262
|
FINISHED |
| Object | medium to large |
—
|
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: medium to large | Statement: [Crljenak Kaštelanski, clusterSize, medium to large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clusterSize Context triple: [Crljenak Kaštelanski, clusterSize, medium to large]
-
A.
clusterSizeRange
chosen
Indicates the range of allowable or observed sizes for a given cluster within a specified context.
-
B.
clusterDensity
Indicates the degree to which elements within a cluster are closely packed or concentrated relative to its size or volume.
-
C.
distributionSize
Indicates the quantity or scale of items or units included in a particular distribution.
-
D.
colonySize
Indicates the number of individuals or units that make up a colony in the described context.
-
E.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.