Triple
T2152566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face ID |
E47811
|
entity |
| Predicate | falseMatchRate |
P7192
|
FINISHED |
| Object | approximately 1 in 1,000,000 under Apple claims |
—
|
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: approximately 1 in 1,000,000 under Apple claims | Statement: [Face ID, falseMatchRate, approximately 1 in 1,000,000 under Apple claims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: falseMatchRate Context triple: [Face ID, falseMatchRate, approximately 1 in 1,000,000 under Apple claims]
-
A.
matchResult
Indicates the outcome or final status produced by a particular match or game between participants.
-
B.
successRate
chosen
Indicates the proportion or frequency with which attempts at a given action or process result in a successful outcome.
-
C.
usesMatchesFrom
Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
-
D.
matchType
Indicates the specific category or nature of how two or more entities correspond or align with each other within a given context.
-
E.
matches
Indicates that two entities correspond to or are in agreement with each other according to some defined criteria or pattern.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| PD | Predicate disambiguation | batch_69abbd9a60648190b20b116be5c7ad98 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:44 p.m.