Triple
T10471894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cofiroute |
E246941
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Cofiroute USA
Cofiroute USA is an American toll road and transportation infrastructure company specializing in the development, operation, and management of tolling systems and managed lanes.
|
E865553
|
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: Cofiroute USA | Statement: [Cofiroute, hasSubsidiary, Cofiroute USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cofiroute USA Context triple: [Cofiroute, hasSubsidiary, Cofiroute USA]
-
A.
Cowan
Cowan is a Scottish-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
B.
Greenway
Greenway is a suburb in the Canberra region of the Australian Capital Territory, known for its proximity to Lake Tuggeranong and local commercial and residential areas.
-
C.
Beeline
Beeline is a command-line client for Apache Hive that allows users to connect to HiveServer2 and execute SQL queries against Hive data warehouses.
-
D.
Crouse
Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
-
E.
Cornier
Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
- 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: Cofiroute USA Triple: [Cofiroute, hasSubsidiary, Cofiroute USA]
Generated description
Cofiroute USA is an American toll road and transportation infrastructure company specializing in the development, operation, and management of tolling systems and managed lanes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cofiroute USA Target entity description: Cofiroute USA is an American toll road and transportation infrastructure company specializing in the development, operation, and management of tolling systems and managed lanes.
-
A.
Cowan
Cowan is a Scottish-origin surname borne by various notable individuals across fields such as politics, science, and the arts.
-
B.
Greenway
Greenway is a suburb in the Canberra region of the Australian Capital Territory, known for its proximity to Lake Tuggeranong and local commercial and residential areas.
-
C.
Beeline
Beeline is a command-line client for Apache Hive that allows users to connect to HiveServer2 and execute SQL queries against Hive data warehouses.
-
D.
Crouse
Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
-
E.
Cornier
Cornier is a small French commune located in the Haute-Savoie department in the Auvergne-Rhône-Alpes region of southeastern France.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5094cec788190a485c5c9e7cd024a |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8a0094910819094d492c87b31898e |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a45e5a108190ba8e6ba4af858b19 |
completed | April 10, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a890c6b081908e57cc74f18d788b |
completed | April 10, 2026, 7:36 a.m. |
Created at: April 6, 2026, 12:20 p.m.