Triple
T1647753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSV |
E35620
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Comma-Separated Values |
E35620
|
NE 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: Comma-Separated Values | Statement: [CSV, fullName, Comma-Separated Values]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comma-Separated Values Context triple: [CSV, fullName, Comma-Separated Values]
-
A.
CSV
chosen
CSV (Comma-Separated Values) is a simple, text-based file format commonly used to store and exchange tabular data between different software applications and systems.
-
B.
Excel
Excel is a widely used spreadsheet software by Microsoft that enables data organization, analysis, visualization, and basic to advanced analytics through formulas, functions, and tools like PivotTables.
-
C.
OpenDocument format
OpenDocument format is an open, XML-based file format standard for office documents such as text, spreadsheets, and presentations, designed for interoperability across different software suites.
-
D.
Office Open XML (ECMA-376)
Office Open XML (ECMA-376) is a standardized, XML-based file format used primarily by Microsoft Office applications for representing word processing documents, spreadsheets, and presentations.
-
E.
Maschinelles Austauschformat für Bibliotheken
Maschinelles Austauschformat für Bibliotheken (MAB) is a German machine-readable data exchange format historically used by libraries to encode and share bibliographic and authority records.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90a640ea88190822906da575d5165 |
completed | March 5, 2026, 4:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad60a4bd5481908b46f44364c15592 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:29 p.m.