Triple
T22813680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TFile |
E565045
|
entity |
| Predicate | canBeMemoryMapped |
P149828
|
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, canBeMemoryMapped, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeMemoryMapped Context triple: [TFile, canBeMemoryMapped, yes]
-
A.
canBeVirtualized
Indicates that an entity is capable of being run or represented within a virtualized environment rather than directly on physical hardware.
-
B.
isRandomAccess
Indicates that the target can be accessed directly at arbitrary positions without needing to traverse preceding elements sequentially.
-
C.
canBeReadWith
Indicates that one entity is suitable or compatible to be read or interpreted together with another entity.
-
D.
canBeLoadedAt
Indicates that an entity is capable of being placed onto or into another entity (such as a vehicle, container, or system) at a specific location or point in time.
-
E.
canBeLoadedBy
Indicates that one entity is capable of being loaded, initialized, or brought into use by another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:32 p.m.