Triple
T21741593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12.9‑inch iPad Pro (1st generation) |
E536671
|
entity |
| Predicate | touchIDGeneration |
P17643
|
FINISHED |
| Object | 1st 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: 1st generation Touch ID | Statement: [12.9‑inch iPad Pro (1st generation), touchIDGeneration, 1st generation Touch ID]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: touchIDGeneration Context triple: [12.9‑inch iPad Pro (1st generation), touchIDGeneration, 1st generation Touch ID]
-
A.
securityGeneration
Indicates the creation or issuance of a security (such as a financial instrument or credential) as a result of some process or action.
-
B.
keyboardGeneration
Indicates the creation or production of a keyboard, typically specifying that an entity generates or manufactures a keyboard.
-
C.
hasFingerprintSensor
chosen
Indicates that an entity is equipped with or includes a fingerprint recognition sensor.
-
D.
inscriptionID
Indicates a unique identifier that links an entity to a specific inscription or inscribed text.
-
E.
keyGenerationStep
Indicates a specific stage or phase within a multi-step process of generating a cryptographic or security-related key.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7250d48190aa63f89db017ef70 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.