Triple
T12824736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ciudad Real |
E306618
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | A-43 motorway |
—
|
NE ONDG |
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: A-43 motorway | Statement: [Ciudad Real, roadConnection, A-43 motorway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-43 motorway Context triple: [Ciudad Real, roadConnection, A-43 motorway]
-
A.
A-7 motorway
The A-7 motorway is a major Spanish coastal highway running along much of the Mediterranean shoreline, connecting key cities and regions in southern and eastern Spain.
-
B.
A-5 motorway
The A-5 motorway is a major Spanish highway that connects Madrid with the western regions of Spain and extends toward the Portuguese border.
-
C.
A-49 motorway
The A-49 motorway is a German autobahn in the state of Hesse that links the city of Kassel with the Schwalm-Eder region and is planned to be extended further south.
-
D.
A-3 motorway
The A-3 motorway is a major Spanish highway that connects Madrid with the eastern coastal city of Valencia, forming a key route between the capital and the Mediterranean.
-
E.
A52 motorway
The A52 motorway is a major German autobahn in North Rhine-Westphalia that links cities in the Rhine-Ruhr metropolitan region and serves as an important commuter and transit route.
- 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: A-43 motorway Triple: [Ciudad Real, roadConnection, A-43 motorway]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A-43 motorway Target entity description: The A-43 motorway is a major Spanish highway that crosses central Spain, linking the regions of Extremadura, Castile-La Mancha, and Valencia to improve east–west connectivity.
-
A.
A-7 motorway
The A-7 motorway is a major Spanish coastal highway running along much of the Mediterranean shoreline, connecting key cities and regions in southern and eastern Spain.
-
B.
A-5 motorway
The A-5 motorway is a major Spanish highway that connects Madrid with the western regions of Spain and extends toward the Portuguese border.
-
C.
A-49 motorway
The A-49 motorway is a German autobahn in the state of Hesse that links the city of Kassel with the Schwalm-Eder region and is planned to be extended further south.
-
D.
A-3 motorway
The A-3 motorway is a major Spanish highway that connects Madrid with the eastern coastal city of Valencia, forming a key route between the capital and the Mediterranean.
-
E.
A52 motorway
The A52 motorway is a major German autobahn in North Rhine-Westphalia that links cities in the Rhine-Ruhr metropolitan region and serves as an important commuter and transit route.
- F. None of above. chosen
Provenance (4 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96edcc99c8190986cd78fe4714835 |
completed | April 10, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01963971248190b5e2b0b77eb7cbfe |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 9, 2026, 5:32 p.m.