Triple
T14439356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ClearCase |
E358045
|
entity |
| Predicate | hasStorageModel |
P2390
|
FINISHED |
| Object | server-based repository |
—
|
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: server-based repository | Statement: [ClearCase, hasStorageModel, server-based repository]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStorageModel Context triple: [ClearCase, hasStorageModel, server-based repository]
-
A.
hasStorage
Indicates that one entity provides or contains storage capacity or space for another entity or resource.
-
B.
hasStorageFunction
Indicates that an entity serves to store, retain, or hold another entity or resource for later use.
-
C.
hasStorageClass
Indicates that one entity is assigned or associated with a particular storage class that defines how its data is stored or managed.
-
D.
hasStorageRing
Indicates that one entity possesses or is equipped with a storage ring associated with it.
-
E.
hasModelType
chosen
Indicates that an entity is associated with or classified under a specific model type.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914c1398819090fa2a74d257ba3e |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:18 a.m.