Triple
T29388400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phone Book Access Profile |
E745311
|
entity |
| Predicate | serverRoleTypically |
P195898
|
FINISHED |
| Object | mobile phone |
—
|
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: mobile phone | Statement: [Phone Book Access Profile, serverRoleTypically, mobile phone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serverRoleTypically Context triple: [Phone Book Access Profile, serverRoleTypically, mobile phone]
-
A.
serverRole
Indicates the functional role or responsibility that a server has within a system or network.
-
B.
systemRole
Indicates the functional position or responsibility that an entity holds within a larger system or structure.
-
C.
startupRole
Indicates that an entity holds a specific role or position within a startup organization.
-
D.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
E.
primaryServiceRole
Indicates the main or most important functional role that a service performs in relation to other entities or processes.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69fdee75d1408190bba58a9cef200a54 |
completed | May 8, 2026, 2:08 p.m. |
Created at: April 28, 2026, 2:40 p.m.