Triple
T29388399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phone Book Access Profile |
E745311
|
entity |
| Predicate | clientRoleTypically |
P146141
|
FINISHED |
| Object | car kit |
—
|
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: car kit | Statement: [Phone Book Access Profile, clientRoleTypically, car kit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clientRoleTypically Context triple: [Phone Book Access Profile, clientRoleTypically, car kit]
-
A.
ClientRole
Indicates that an entity participates in a relationship or interaction specifically in the capacity of a client.
-
B.
clientOf
Indicates that one entity receives services or conducts business from another entity in a client–provider relationship.
-
C.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
-
D.
clientServiceModel
Indicates a relationship where a particular service model is provided, managed, or applied for a given client.
-
E.
profileRole
chosen
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669d44b7c8190a79e108c68a7077a |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 2:40 p.m.