Triple
T1404988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Provider Bridging |
E31670
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Provider Backbone Bridges |
E31670
|
NE 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: Provider Backbone Bridges | Statement: [Provider Bridging, relatedTo, Provider Backbone Bridges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Provider Backbone Bridges Context triple: [Provider Bridging, relatedTo, Provider Backbone Bridges]
-
A.
Provider Bridging
chosen
Provider Bridging is an IEEE 802.1 network technology that extends Ethernet to support scalable, VLAN-based traffic separation and forwarding across large carrier or provider networks.
-
B.
Platform 6
Platform 6 is one of the passenger train platforms at Cambridge railway station in Cambridge, England.
-
C.
Fieldlink
Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
-
D.
Service Broker
Service Broker is a SQL Server feature that provides native support for reliable, asynchronous messaging and queuing within database applications.
-
E.
Bee Network
Bee Network is Greater Manchester’s integrated public transport system brand, unifying buses, trams, cycling and walking under a single, coordinated network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace573b9288190ac91d8f6ea94fa20 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.