Triple
T35693757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nokia 3210 |
E1031373
|
entity |
| Predicate | supportsCallerID |
P207099
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Nokia 3210, supportsCallerID, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCallerID Context triple: [Nokia 3210, supportsCallerID, true]
-
A.
supportsCallSetup
Indicates that one entity provides the necessary functionality or resources for establishing (initiating and configuring) a communication call between parties.
-
B.
hasCallInNumber
Indicates that an entity has an associated telephone number designated for receiving incoming calls.
-
C.
supportsCallSign
Indicates that one entity is capable of recognizing, handling, or operating using a specified call sign.
-
D.
supportsVoIP
Indicates that one entity provides the capability for Voice over IP (VoIP) communication to or for another entity.
-
E.
requiresCarrierSupport
Indicates that performing or enabling this action depends on support or approval from a carrier (e.g., a mobile network operator).
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:05 p.m.