Triple
T22819367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XG-PON |
E565185
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | XG-PON1 |
—
|
NE NERFINISHED |
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: XG-PON1 | Statement: [XG-PON, alsoKnownAs, XG-PON1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: XG-PON1 Context triple: [XG-PON, alsoKnownAs, XG-PON1]
-
A.
XG-PON
chosen
XG-PON is a 10 Gigabit-capable passive optical network standard that delivers high-speed fiber-to-the-premises broadband access.
-
B.
GPON
GPON (Gigabit Passive Optical Network) is a high-speed fiber-optic access technology that delivers broadband internet, voice, and video services over a shared passive optical infrastructure.
-
C.
NG-PON2
NG-PON2 is a next-generation passive optical network standard that delivers higher bandwidth, wavelength multiplexing, and improved scalability for fiber-to-the-premises and related broadband services.
-
D.
XFP
XFP is a compact, hot-swappable 10 Gigabit optical transceiver module form factor commonly used in high-speed Ethernet and fiber-optic communication links.
-
E.
OXC
OXC is the three-letter station code for Oxford Circus, a major London Underground interchange in the West End.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dcf39a88190bec26affc304236d |
completed | April 29, 2026, 3:41 a.m. |
Created at: April 17, 2026, 3:33 p.m.