Triple
T4330914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ChatGPT |
E96744
|
entity |
| Predicate | hasSafetyMechanism |
P1687
|
FINISHED |
| Object | content filtering |
—
|
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: content filtering | Statement: [ChatGPT, hasSafetyMechanism, content filtering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSafetyMechanism Context triple: [ChatGPT, hasSafetyMechanism, content filtering]
-
A.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
B.
reliabilityMechanism
Indicates a mechanism or process that ensures the dependable, consistent, and correct functioning of a system or relationship.
-
C.
measuresSafetyUsing
Indicates that an entity evaluates or assesses safety by employing a specified method, tool, or standard.
-
D.
securityMechanism
chosen
Indicates a relationship where one entity serves as a means or method to protect another entity from threats, vulnerabilities, or unauthorized actions.
-
E.
hasSafetyCertificate
Indicates that an entity possesses or has been granted a valid safety certificate.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.