Triple
T19877883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Oregon and Pacific Railroad |
E477686
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CORP
CORP is a regional short-line railroad operating freight services in central and southwestern Oregon and northern California.
|
E1399896
|
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: CORP | Statement: [Central Oregon and Pacific Railroad, hasAbbreviation, CORP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CORP Context triple: [Central Oregon and Pacific Railroad, hasAbbreviation, CORP]
-
A.
Corporate
Corporate is a dark workplace comedy television series that satirizes the dehumanizing culture of a soulless multinational corporation.
-
B.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
-
C.
E Corp
E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
-
D.
Company
"Company" is a 2011 filmed stage production of the Stephen Sondheim musical, notable for its concert-style staging and direction by Sam Mendes.
-
E.
COM
COM is the commonly used abbreviation for the College of Communication, an academic unit focused on media, journalism, and related communication disciplines.
- 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: CORP Triple: [Central Oregon and Pacific Railroad, hasAbbreviation, CORP]
Generated description
CORP is a regional short-line railroad operating freight services in central and southwestern Oregon and northern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CORP Target entity description: CORP is a regional short-line railroad operating freight services in central and southwestern Oregon and northern California.
-
A.
Corporate
Corporate is a dark workplace comedy television series that satirizes the dehumanizing culture of a soulless multinational corporation.
-
B.
CORPAC
CORPAC is the Peruvian state-owned corporation responsible for managing and operating numerous civil airports and air navigation services across Peru.
-
C.
E Corp
E Corp is the powerful, corrupt multinational conglomerate that serves as the main corporate antagonist in the television series "Mr. Robot."
-
D.
Company
"Company" is a 2011 filmed stage production of the Stephen Sondheim musical, notable for its concert-style staging and direction by Sam Mendes.
-
E.
COM
COM (Component Object Model) is a Microsoft-developed software architecture that enables interprocess communication and reusable binary components across different programming languages and applications on Windows.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658dc8ce08190b005ad49924e5659 |
completed | April 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07dbc82f0881909556c54b8ce3533f |
completed | May 16, 2026, 2:51 a.m. |
| NEDg | Description generation | batch_6a07dc854a0c8190b0da81ead6b9cfc1 |
completed | May 16, 2026, 2:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07dd45e93c8190b14c23487398a8ec |
completed | May 16, 2026, 2:58 a.m. |
Created at: April 10, 2026, 1:52 p.m.