Triple
T4930323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq Portable |
E110677
|
entity |
| Predicate | optionalStorage |
P8611
|
FINISHED |
| Object | 10 MB hard disk |
—
|
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: 10 MB hard disk | Statement: [Compaq Portable, optionalStorage, 10 MB hard disk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: optionalStorage Context triple: [Compaq Portable, optionalStorage, 10 MB hard disk]
-
A.
storageOption
chosen
Indicates how or where something is stored, specifying the chosen method, medium, or configuration for its storage.
-
B.
storesConfigurationFor
Indicates that one entity holds or maintains configuration settings that are used by or apply to another entity.
-
C.
dataStorage
Indicates a relationship where one entity serves as a repository that holds, retains, or maintains data for another entity or process.
-
D.
storeType
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
E.
offersFreeStorage
Indicates that one entity provides storage capacity to another at no cost.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd703a0fa48190809b6ac3f2731349 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.