Triple
T22813679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TFile |
E565045
|
entity |
| Predicate | supportsSequentialAccess |
P143448
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [TFile, supportsSequentialAccess, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSequentialAccess Context triple: [TFile, supportsSequentialAccess, yes]
-
A.
supportsSequentialAccessFiles
chosen
Indicates that the subject provides or is compatible with files that are accessed sequentially rather than randomly.
-
B.
isRandomAccess
Indicates that the target can be accessed directly at arbitrary positions without needing to traverse preceding elements sequentially.
-
C.
supportsSeekableStreams
Indicates that an entity is capable of handling streams that allow seeking to arbitrary positions within the data.
-
D.
requiresRandomAccess
Indicates that one entity can only be correctly or efficiently used, processed, or accessed if random (non-sequential) access to another entity is available.
-
E.
hasContinuousSequence
Indicates that there exists an unbroken, ordered sequence or range connecting the related entities without gaps.
- F. None of above.
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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d62b0ec8190ac22909192e8a876 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.