Triple
T1400275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian National Railway |
E30762
|
entity |
| Predicate | logoText |
P3623
|
FINISHED |
| Object | CN |
E160862
|
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: CN | Statement: [Canadian National Railway, logoText, CN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CN Context triple: [Canadian National Railway, logoText, CN]
-
A.
CN
chosen
CN is a major Canadian freight railway company that operates an extensive rail network across Canada and into the United States.
-
B.
Min Chinese
Min Chinese is a major and diverse branch of the Sinitic language family, comprising several mutually unintelligible varieties spoken primarily in China’s southeastern coastal regions and among overseas Chinese communities.
-
C.
ZHHH
ZHHH is the ICAO airport code for Wuhan Tianhe International Airport, a major aviation hub serving Wuhan in central China.
-
D.
China
China is a vast East Asian country known for its long continuous civilization, large population, and major global economic and political influence.
-
E.
Zhōnghuá Táiběi
Zhōnghuá Táiběi is the standard Mandarin Chinese name used in international contexts to refer to Chinese Taipei, a designation commonly applied to Taiwan in global organizations and sporting events.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c39c4c148190997150996ca26a99 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace57125a4819089216bbc75c36bb9 |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:59 p.m.