Triple
T2714059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Web Services |
E59926
|
entity |
| Predicate | offersService |
P178
|
FINISHED |
| Object |
AWS WAF
AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
|
E293781
|
NE FINISHED |
How this triple was built (4 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: AWS WAF | Statement: [Amazon Web Services, offersService, AWS WAF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS WAF Context triple: [Amazon Web Services, offersService, AWS WAF]
-
A.
Cloud Armor
Cloud Armor is Google Cloud’s distributed web application firewall and DDoS protection service that helps secure applications and services from online attacks.
-
B.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
C.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
D.
Security Edge Protection Proxy
Security Edge Protection Proxy is a 5G core network function that secures and controls signaling and data traffic at the network’s perimeter, enabling trusted interconnection between different 5G networks and domains.
-
E.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AWS WAF Triple: [Amazon Web Services, offersService, AWS WAF]
Generated description
AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AWS WAF Target entity description: AWS WAF is a cloud-based web application firewall service that helps protect web applications and APIs from common web exploits and bots.
-
A.
Cloud Armor
Cloud Armor is Google Cloud’s distributed web application firewall and DDoS protection service that helps secure applications and services from online attacks.
-
B.
Aws
Aws was one of the major Arab tribes of Medina that played a pivotal role in supporting Prophet Muhammad and the early Muslim community after the Hijrah.
-
C.
AWST
AWST is the time zone used in Western Australia, corresponding to UTC+8 hours.
-
D.
Security Edge Protection Proxy
Security Edge Protection Proxy is a 5G core network function that secures and controls signaling and data traffic at the network’s perimeter, enabling trusted interconnection between different 5G networks and domains.
-
E.
AWS
AWS is a train protection and warning system used on railways to alert drivers to signal aspects and speed restrictions, enhancing operational safety.
- F. None of above. chosen
Provenance (5 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda93a2388190b55a1c821ef6bc64 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb687f6a081909ab1ba98a6ecc60f |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7c0ac9c819088939e2a20e74c24 |
completed | March 10, 2026, 6:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb84d36488190b49b05f2d5398627 |
completed | March 10, 2026, 6:21 a.m. |
Created at: March 6, 2026, 9:55 p.m.