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.