Triple
T504359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comboios de Portugal |
E10469
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
CP
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
|
E62901
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Comboios de Portugal, abbreviation, CP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CP Context triple: [Comboios de Portugal, abbreviation, CP]
-
A.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
-
B.
PB
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
-
C.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
D.
PE
PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
-
E.
MP
MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CP Triple: [Comboios de Portugal, abbreviation, CP]
Generated description
CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CP Target entity description: CP is the national railway operator of Portugal, providing passenger and freight train services across the country.
-
A.
SP
SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
-
B.
PB
PB is the post-nominal abbreviation used to denote recipients of the Padma Bhushan, one of India’s highest civilian honors.
-
C.
CM
CM is the post-nominal letters used to denote a Member of the Order of Canada, one of the country’s highest civilian honors.
-
D.
PE
PE is the two-letter ISO 3166-1 alpha-2 country code assigned to Peru for international standardization and referencing.
-
E.
MP
MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
- F. None of above. chosen
Provenance (5 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a48a7b71848190ab3e69fc84779301 |
completed | March 1, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69a48c1329f0819093fa4eb579075243 |
completed | March 1, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a48c688fcc81909d79068875b89aee |
completed | March 1, 2026, 6:58 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.