Triple
T4830053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campbell Soup Company |
E107922
|
entity |
| Predicate | hasStockTicker |
P1447
|
FINISHED |
| Object | CPB |
E107922
|
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: CPB | Statement: [Campbell Soup Company, hasStockTicker, CPB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CPB Context triple: [Campbell Soup Company, hasStockTicker, CPB]
-
A.
CPB
chosen
CPB is the stock ticker symbol for Campbell Soup Company, a major American food manufacturer best known for its canned soups and related packaged food products.
-
B.
CPB
CPB is a nonprofit corporation created by the U.S. government to fund and support public television and radio broadcasting across the United States.
-
C.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
-
D.
CP
CP is the International Baccalaureate Career-related Programme, a two-year educational framework that combines academic study with career-focused learning for students aged 16–19.
-
E.
CP
CP was the IATA airline designator for Canadian Airlines, a former major Canadian carrier.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc66c488190a49052e32411dc4b |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cb748d081908fc32b2cea994b35 |
completed | March 21, 2026, 8:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.