Triple
T30655918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Firewall |
E780384
|
entity |
| Predicate | counterMeasures |
P109536
|
FINISHED |
| Object | blocking many VPN protocols |
—
|
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: blocking many VPN protocols | Statement: [Great Firewall, counterMeasures, blocking many VPN protocols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterMeasures Context triple: [Great Firewall, counterMeasures, blocking many VPN protocols]
-
A.
counterMeasureAgainst
chosen
Indicates a relationship where one entity serves as a response or defensive action intended to prevent, mitigate, or neutralize the effects of another entity.
-
B.
countermeasuresFaced
Indicates that one entity has encountered or had to deal with countermeasures implemented by another entity.
-
C.
countermeasureCategory
Indicates the classification type or category to which a given countermeasure belongs.
-
D.
counterattackBy
Indicates that an entity launches a retaliatory attack in response to an initial attack carried out by another entity.
-
E.
counterplay
Indicates a responsive action or strategy taken to oppose, mitigate, or neutralize another party’s move or advantage.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff97637ad881908c24fe2cc6b036db |
completed | May 9, 2026, 8:21 p.m. |
| PD | Predicate disambiguation | batch_69ff96c43a808190942eeda1934602db |
completed | May 9, 2026, 8:19 p.m. |
Created at: April 29, 2026, 8:30 p.m.