Triple
T2642451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP |
E62901
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | CP Regional |
E285807
|
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: CP Regional | Statement: [CP, brand, CP Regional]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CP Regional Context triple: [CP, brand, CP Regional]
-
A.
CP Regional
chosen
CP Regional is a Portuguese regional train service operator providing local and intercity rail connections across various parts of Portugal.
-
B.
Central Region (part)
Central Region (part) was a former local government area in central Scotland that included portions of historic Stirlingshire before later administrative reorganisations.
-
C.
Office of Regional Operations
The Office of Regional Operations is a division within the U.S. Administration for Children and Families that oversees and coordinates the implementation of ACF programs and policies across its regional offices nationwide.
-
D.
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
-
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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa04f0d448190adf113831fb5bc42 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:53 p.m.