Triple
T13229258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.1Qau |
E314965
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
QCN
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
|
E1028102
|
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: QCN | Statement: [IEEE 802.1Qau, hasAbbreviation, QCN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QCN Context triple: [IEEE 802.1Qau, hasAbbreviation, QCN]
-
A.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
B.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
C.
KQCA
KQCA is a television station serving the Sacramento, California market, operating as a sister outlet to NBC affiliate KCRA-TV and carrying syndicated and network programming.
-
D.
CNQR
CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
-
E.
CQH
CQH is the ICAO airline designator assigned to the Chinese low-cost carrier Spring Airlines.
- 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: QCN Triple: [IEEE 802.1Qau, hasAbbreviation, QCN]
Generated description
QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QCN Target entity description: QCN is a congestion notification mechanism defined in the IEEE 802.1Qau standard to manage and control traffic congestion in Ethernet networks.
-
A.
The QC
The QC is a popular nickname for Charlotte, North Carolina, reflecting its identity as a major financial and cultural hub in the southeastern United States.
-
B.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
C.
KQCA
KQCA is a television station serving the Sacramento, California market, operating as a sister outlet to NBC affiliate KCRA-TV and carrying syndicated and network programming.
-
D.
CNQR
CNQR was the stock ticker symbol for Concur Technologies, a company best known for its cloud-based travel and expense management software.
-
E.
CQH
CQH is the ICAO airline designator assigned to the Chinese low-cost carrier Spring Airlines.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f70099f98081909877392c9ec49766 |
completed | May 3, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f702620bc881909d4348fd2c709232 |
completed | May 3, 2026, 8:08 a.m. |
Created at: April 9, 2026, 9:21 p.m.