Triple
T1718251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VFAT |
E37335
|
entity |
| Predicate | fileNameLimit |
P31915
|
FINISHED |
| Object | 255 characters (long filename) |
—
|
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: 255 characters (long filename) | Statement: [VFAT, fileNameLimit, 255 characters (long filename)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileNameLimit Context triple: [VFAT, fileNameLimit, 255 characters (long filename)]
-
A.
volumeIdentifierLengthLimit
Indicates the maximum allowed length for a volume’s identifier within a given system or context.
-
B.
isLimitOf
Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
-
C.
gLimit
Indicates a constraint or maximum boundary imposed on the magnitude, rate, or extent of something within a given context.
-
D.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
E.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab5c96db6c8190a745d6fef7bf2cdb |
completed | March 6, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69aa61bed2fc819086d912cd34285978 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab5c7780bc81909fc6e173a216cb0b |
completed | March 6, 2026, 11 p.m. |
Created at: March 4, 2026, 7:30 p.m.