Triple
T2426668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple A12Z Bionic |
E53543
|
entity |
| Predicate | integratedSecureEnclave |
P39134
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Apple A12Z Bionic, integratedSecureEnclave, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedSecureEnclave Context triple: [Apple A12Z Bionic, integratedSecureEnclave, yes]
-
A.
hasFingerprintSensor
Indicates that an entity is equipped with or includes a fingerprint recognition sensor.
-
B.
hasAccessoryEcosystem
Indicates that an entity is associated with a surrounding set of compatible accessories, add-ons, or peripheral products designed to work with it.
-
C.
containsEnclave
Indicates that one region or territory fully surrounds and encloses another distinct region or territory as an enclave.
-
D.
hasExclave
Indicates that a territory or administrative unit possesses an exclave—part of its area that is geographically separated from its main portion and surrounded by foreign territory.
-
E.
hasFaceUnlock
Indicates that an entity supports or is equipped with a facial recognition–based unlocking feature.
- 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_69ab495c44d48190b7235b23719bc3f6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcc73d2e48190b6ad5f3ee75b74eb |
completed | March 7, 2026, 6:57 a.m. |
Created at: March 6, 2026, 9:42 p.m.