Triple
T27561034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFC |
E695768
|
entity |
| Predicate | cannotFix |
P165390
|
FINISHED |
| Object | hardware-related problems |
—
|
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: hardware-related problems | Statement: [SFC, cannotFix, hardware-related problems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cannotFix Context triple: [SFC, cannotFix, hardware-related problems]
-
A.
cannot
Indicates that one entity lacks the ability, permission, or possibility to perform an action or participate in a specified relationship with another entity.
-
B.
cannotChange
Indicates that an entity is unable or not permitted to alter the state, value, or properties of another entity or relationship.
-
C.
cannotTarget
Indicates that one entity is unable or not permitted to select or act upon another entity as a target.
-
D.
cannotBeImprovedTo
Indicates that one entity cannot be enhanced, upgraded, or made better into the state or form represented by another entity.
-
E.
cannotForm
Indicates that one entity is unable or not permitted to establish, create, or constitute a specified relationship, structure, or configuration with another entity.
- 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 27, 2026, 1:39 p.m.