Triple

T22686686
Position Surface form Disambiguated ID Type / Status
Subject Autovía A-15 E560935 entity
Predicate roadNumber P1864 FINISHED
Object A-15
A-15 is a major Spanish autovía (motorway) that connects the cities of Tudela and Medinaceli, facilitating north–south traffic in the country.
 E1549633 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: A-15 | Statement: [Autovía A-15, roadNumber, A-15]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A-15
Context triple: [Autovía A-15, roadNumber, A-15]
  • A. A-17
    A-17 is the station code assigned to Kuramae Station on Tokyo’s Toei Asakusa Line.
  • B. A-5
    A-5 is a major Spanish motorway that connects Madrid with the western regions of the country toward Extremadura and the Portuguese border.
  • C. A-14
    A-14 is the station code assigned to the Świętokrzyska station on the Warsaw Metro system.
  • D. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • E. A-1
    A-1 is a major Spanish motorway that connects Madrid with the northern regions of the country, forming a key part of the national road network.
  • 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-15
Triple: [Autovía A-15, roadNumber, A-15]
Generated description
A-15 is a major Spanish autovía (motorway) that connects the cities of Tudela and Medinaceli, facilitating north–south traffic in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A-15
Target entity description: A-15 is a major Spanish autovía (motorway) that connects the cities of Tudela and Medinaceli, facilitating north–south traffic in the country.
  • A. A-17
    A-17 is the station code assigned to Kuramae Station on Tokyo’s Toei Asakusa Line.
  • B. A-5
    A-5 is a major Spanish motorway that connects Madrid with the western regions of the country toward Extremadura and the Portuguese border.
  • C. A-14
    A-14 is the station code assigned to the Świętokrzyska station on the Warsaw Metro system.
  • D. A-1
    A-1 is the station code assigned to Kabaty, the southern terminus of Warsaw Metro Line M1.
  • E. A-1
    A-1 is a major Spanish motorway that connects Madrid with the northern regions of the country, forming a key part of the national road network.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178649aac8190a9d41f5d82895bdf completed April 29, 2026, 3:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73f6da688190a7c5c432bb0f6feb completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b79f9ebe48190ba069f68c3900be8 completed May 18, 2026, 8:43 p.m.
NED2 Entity disambiguation (via description) batch_6a0b7a9565f08190acee542633fd7b49 completed May 18, 2026, 8:46 p.m.
Created at: April 17, 2026, 3:13 p.m.