Triple
T7934329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numbers |
E184251
|
entity |
| Predicate | canExportToFormat |
P79861
|
FINISHED |
| Object | .xlsx |
—
|
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: .xlsx | Statement: [Numbers, canExportToFormat, .xlsx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canExportToFormat Context triple: [Numbers, canExportToFormat, .xlsx]
-
A.
canImportFormat
Indicates that an entity has the capability to import or read data in a specified format.
-
B.
isExportable
Indicates that something can be legally and practically transferred or sent out from one jurisdiction, system, or context to another.
-
C.
canBeSavedAs
Indicates that one entity is capable of being stored or preserved in the form or format of another entity.
-
D.
hasFileFormat
Indicates that one entity (typically a digital file or resource) is encoded, stored, or represented using a specific file format defined by the other entity.
-
E.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aeb132c8190bea4906aaf51b869 |
completed | March 31, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69cae9335f288190ba96781fd6576a2b |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:08 p.m.