Triple
T6948607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian National Railway |
E160862
|
entity |
| Predicate | tickerSymbol |
P1447
|
FINISHED |
| Object | CNR |
E160863
|
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: CNR | Statement: [Canadian National Railway, tickerSymbol, CNR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CNR Context triple: [Canadian National Railway, tickerSymbol, CNR]
-
A.
CNR
CNR is an acronym commonly used for the College of Natural Resources, an academic unit focused on environmental science, resource management, and related fields.
-
B.
CNR
chosen
CNR is the stock ticker symbol for Canadian National Railway, a major North American freight railway company.
-
C.
CNP
CNP is the abbreviation for the U.S. Navy’s Chief of Naval Personnel, the senior officer responsible for managing the service’s manpower, personnel policies, and career development.
-
D.
CNRT
CNRT is an acronym that can refer to various organizations or entities, most notably the National Congress for Timorese Reconstruction, a major political party in East Timor.
-
E.
CNU
CNU is a major national research university located in Daejeon, South Korea, known for its comprehensive academic programs and strong emphasis on science and technology.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daad028c8190a6db5b2d029d4dfc |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75874ffcc81908f31ff03e13cb5b0 |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:28 p.m.