Triple
T30300614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 6s |
E770642
|
entity |
| Predicate | touchIdGeneration |
P169387
|
FINISHED |
| Object | second-generation Touch ID |
—
|
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: second-generation Touch ID | Statement: [iPhone 6s, touchIdGeneration, second-generation Touch ID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touchIdGeneration Context triple: [iPhone 6s, touchIdGeneration, second-generation Touch ID]
-
A.
touchesState
Indicates that one entity is in physical contact with, or directly affects, the state or condition of another entity.
-
B.
keyboardGeneration
Indicates the creation or production of a keyboard, typically specifying that an entity generates or manufactures a keyboard.
-
C.
securityGeneration
Indicates the creation or issuance of a security (such as a financial instrument or credential) as a result of some process or action.
-
D.
inscriptionID
Indicates a unique identifier that links an entity to a specific inscription or inscribed text.
-
E.
targetGenerationDepicted
Indicates that one entity visually represents or portrays the generation (age cohort) associated with another entity.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813a47dc81908cc75bae4d2b97cc |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 7:48 p.m.