Triple
T11960818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open RAN |
E284663
|
entity |
| Predicate | challengesInclude |
P2189
|
FINISHED |
| Object | system integration complexity |
—
|
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: system integration complexity | Statement: [Open RAN, challengesInclude, system integration complexity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: challengesInclude Context triple: [Open RAN, challengesInclude, system integration complexity]
-
A.
hasChallenge
chosen
Indicates that an entity faces, experiences, or is confronted with a particular difficulty, obstacle, or problem.
-
B.
challengesModel
Indicates that one entity questions, disputes, or puts to the test the validity, performance, or assumptions of another entity’s model.
-
C.
challengedPractice
Indicates that one entity has questioned, disputed, or formally opposed the validity, appropriateness, or continuation of another entity’s practice or procedure.
-
D.
challengesView
Indicates that one entity questions, disputes, or seeks to overturn another entity’s perspective, decision, or interpretation.
-
E.
relatedChallenge
Indicates that one challenge is connected to another challenge, such as being similar, dependent, or otherwise contextually linked.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.