Triple
T8175394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTFS |
E190925
|
entity |
| Predicate | hasOnDiskStructure |
P81263
|
FINISHED |
| Object | Master File Table |
—
|
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: Master File Table | Statement: [NTFS, hasOnDiskStructure, Master File Table]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnDiskStructure Context triple: [NTFS, hasOnDiskStructure, Master File Table]
-
A.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
B.
hasStructureCount
Indicates the number of structures associated with or contained by a given entity.
-
C.
hasOutputStructure
Indicates that an entity produces, defines, or is associated with a particular structural form or arrangement as its output.
-
D.
hasStructureOnOrAdjacent
Indicates that one entity has a physical structure located on it or immediately next to it.
-
E.
hasServiceStructure
Indicates that one entity provides, contains, or is associated with a particular service-related structure or organizational framework for delivering a service.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| PD | Predicate disambiguation | batch_69cb36a7952481908f34e3e82f375a84 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb45503eec8190aeef0da6c3324710 |
completed | March 31, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:40 p.m.