Triple
T2208347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French autoroute network |
E50854
|
entity |
| Predicate | hasConcessionaire |
P37449
|
FINISHED |
| Object |
APRR
APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
|
E244508
|
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: APRR | Statement: [French autoroute network, hasConcessionaire, APRR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APRR Context triple: [French autoroute network, hasConcessionaire, APRR]
-
A.
APRU
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
B.
APRIN
APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
-
C.
APRALO
APRALO is the Asia Pacific Regional At-Large Organization within ICANN that represents and coordinates the interests of individual Internet users in the Asia-Pacific region.
-
D.
ANPP
ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
-
E.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
- 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: APRR Triple: [French autoroute network, hasConcessionaire, APRR]
Generated description
APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: APRR Target entity description: APRR is a major French motorway concession and operating company responsible for managing and maintaining a large portion of France’s autoroute network.
-
A.
APRU
APRU (Association of Pacific Rim Universities) is a consortium of leading research universities around the Pacific Rim that collaborates on education, research, and policy initiatives.
-
B.
APRIN
APRIN is a Japanese organization focused on promoting research integrity and ethical conduct in academic and scientific communities.
-
C.
APRALO
APRALO is the Asia Pacific Regional At-Large Organization within ICANN that represents and coordinates the interests of individual Internet users in the Asia-Pacific region.
-
D.
ANPP
ANPP is the acronym for Cuba’s unicameral national legislature, the National Assembly of People’s Power.
-
E.
Ap
Ap is the commonly used abbreviation for the Norwegian Labour Party, a major social-democratic political party in Norway.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc5b101d48190a321625720d537b6 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654e22b48190bb40f7c61bb359b1 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae6608d3ac8190923cd6a6ce7c4c89 |
completed | March 9, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae66a751f881908fda164de72dac9b |
completed | March 9, 2026, 6:20 a.m. |
Created at: March 4, 2026, 7:46 p.m.