Triple
T18197747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Col de Turini |
E435704
|
entity |
| Predicate | roadNumber |
P1864
|
FINISHED |
| Object |
D2566
D2566 is a French departmental mountain road that provides access to and traverses the Col de Turini in the Alps.
|
E1310805
|
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: D2566 | Statement: [Col de Turini, roadNumber, D2566]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D2566 Context triple: [Col de Turini, roadNumber, D2566]
-
A.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
-
B.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
-
C.
DS26
DS26 is a World Trade Organization dispute case concerning the European Communities’ restrictions on hormone-treated meat products, primarily challenged by the United States.
-
D.
D68
D68 is the pennant number assigned to HMAS Vampire, a Royal Australian Navy destroyer.
-
E.
D2280
D2280 is a well-preserved early Homo erectus (or Homo georgicus) skull from the Dmanisi site in Georgia that has been crucial for understanding human evolution and variation in early Homo populations.
- 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: D2566 Triple: [Col de Turini, roadNumber, D2566]
Generated description
D2566 is a French departmental mountain road that provides access to and traverses the Col de Turini in the Alps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: D2566 Target entity description: D2566 is a French departmental mountain road that provides access to and traverses the Col de Turini in the Alps.
-
A.
D22
D22 is the second-generation Nissan Navara (also known as the Nissan Frontier in some markets), a compact pickup truck platform produced from the late 1990s into the 2000s.
-
B.
D-2500
D-2500 was the German civil-registered prototype and primary example of the Junkers G 38, a large all-metal four-engine transport aircraft of the late 1920s and early 1930s.
-
C.
DS26
DS26 is a World Trade Organization dispute case concerning the European Communities’ restrictions on hormone-treated meat products, primarily challenged by the United States.
-
D.
D68
D68 is the pennant number assigned to HMAS Vampire, a Royal Australian Navy destroyer.
-
E.
D2280
D2280 is a well-preserved early Homo erectus (or Homo georgicus) skull from the Dmanisi site in Georgia that has been crucial for understanding human evolution and variation in early Homo populations.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d47f1c819082eec59492497797 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980d47e881909377b7e9ab4a02e6 |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a039945b8948190a7bd1ba03ecb0c60 |
completed | May 12, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0399f0610881908a3d2f578233347c |
completed | May 12, 2026, 9:21 p.m. |
Created at: April 10, 2026, 10:31 a.m.