Triple
T7414320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IEEE 802.1Qcx |
E171091
|
entity |
| Predicate | focusesOn |
P31
|
FINISHED |
| Object | TSN |
E99215
|
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: TSN | Statement: [IEEE 802.1Qcx, focusesOn, TSN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TSN Context triple: [IEEE 802.1Qcx, focusesOn, TSN]
-
A.
TSN
TSN is the IATA airport code for Tianjin Binhai International Airport, the main air gateway serving the city of Tianjin in northern China.
-
B.
TSN
chosen
TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
-
C.
TSN1
TSN1 is a Canadian English-language sports television channel operated by The Sports Network, featuring live sports coverage, analysis, and related programming.
-
D.
Sportsnet
Sportsnet is a Canadian sports television network owned by Rogers Sports & Media that broadcasts a wide range of live sports, including Major League Baseball, NHL hockey, and other national and regional events.
-
E.
Réseau des sports
Réseau des sports is a Canadian French-language specialty television channel focused on broadcasting sports events and related programming.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c509ac8190876f207267a33a3b |
completed | March 27, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ee1b48c81909912ff0d7bf2837e |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.