Triple
T30428604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mac Pro (2019) |
E774098
|
entity |
| Predicate | hasSecurityChip |
P168049
|
FINISHED |
| Object | Apple T2 Security Chip |
—
|
NE NERFINISHED |
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: Apple T2 Security Chip | Statement: [Mac Pro (2019), hasSecurityChip, Apple T2 Security Chip]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityChip Context triple: [Mac Pro (2019), hasSecurityChip, Apple T2 Security Chip]
-
A.
hasOnChip
Indicates that one component or system includes another component integrated directly onto the same chip or integrated circuit.
-
B.
hasSecurityTerminal
Indicates that an entity is equipped with or contains a security terminal used for access control, monitoring, or security-related operations.
-
C.
usesLockoutChip
Indicates that an entity employs a lockout chip mechanism to control or restrict access, operation, or compatibility.
-
D.
hasChipType
chosen
Indicates that an entity is associated with or uses a specific type or category of chip.
-
E.
hasPin
Indicates that one entity possesses, includes, or is equipped with a specific pin (such as a connector pin, security PIN, or fastening pin).
- 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_69f22491ba248190b9a4776ca8e42d02 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fea5e828cc8190a9b755a645dc56d2 |
completed | May 9, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69fea36443f08190b2aced9b4a0525fd |
completed | May 9, 2026, 3 a.m. |
Created at: April 29, 2026, 8:06 p.m.