Triple
T28998256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFS |
E736222
|
entity |
| Predicate | primarySuccessor |
P78
|
FINISHED |
| Object | z/OS File System (zFS) |
—
|
NE NERFINISHED |
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: z/OS File System (zFS) | Statement: [HFS, primarySuccessor, z/OS File System (zFS)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySuccessor Context triple: [HFS, primarySuccessor, z/OS File System (zFS)]
-
A.
successorInPractice
Indicates that one entity has taken over the role, position, or function of another in actual practice, even if not formally or officially designated as its successor.
-
B.
successor
chosen
Indicates that one entity directly follows another in an ordered sequence or position.
-
C.
intendedSuccessorTo
Indicates that one entity is meant or designated to follow, replace, or take over the role or position of another entity in the future.
-
D.
successorInPolicy
Indicates that one policy directly follows and replaces another in a sequence or hierarchy of policies.
-
E.
successorProvision
Indicates that one provision follows and replaces or continues the effect of another provision in sequence.
- 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: April 28, 2026, 9:33 a.m.