Triple
T30504589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .TOS |
E776231
|
entity |
| Predicate | fileRole |
P268
|
FINISHED |
| Object | native executable for TOS |
—
|
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: native executable for TOS | Statement: [.TOS, fileRole, native executable for TOS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fileRole Context triple: [.TOS, fileRole, native executable for TOS]
-
A.
documentsRole
Indicates that one entity serves to record, describe, or provide evidence of the role or function played by another entity.
-
B.
formRole
Indicates that an entity assumes, is assigned, or functions in a particular role within a specified context or structure.
-
C.
roleInMetadata
Indicates that an entity serves a specific function or position within a metadata record or metadata structure.
-
D.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
-
E.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
- 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_69f2249a155c8190b1d512106007e9bb |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f687b1f5e481908b418423c77edbec |
completed | May 2, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:15 p.m.