Triple

T13946881
Position Surface form Disambiguated ID Type / Status
Subject Mediterranean Motorway (A-7) E335405 entity
Predicate hasJunctionWith P1018 FINISHED
Object A-35
The A-35 is a Spanish autovía in the Valencian Community that connects inland routes with the Mediterranean corridor served by the A-7.
E1071789 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-35 | Statement: [Mediterranean Motorway (A-7), hasJunctionWith, A-35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-35
Context triple: [Mediterranean Motorway (A-7), hasJunctionWith, A-35]
  • A. A-30
    The A-30 is a major Spanish motorway that connects inland cities like Albacete and Murcia to the Mediterranean corridor.
  • B. A-30
    A-30 is a major controlled-access highway in Quebec, Canada, forming part of the region’s autoroute network and serving as a bypass around the Montreal metropolitan area.
  • C. A-31
    A-31 is a major Spanish motorway that connects inland regions, including Madrid and Albacete, with the Mediterranean corridor.
  • D. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • E. A-23
    A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
  • 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-35
Triple: [Mediterranean Motorway (A-7), hasJunctionWith, A-35]
Generated description
The A-35 is a Spanish autovía in the Valencian Community that connects inland routes with the Mediterranean corridor served by the A-7.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A-35
Target entity description: The A-35 is a Spanish autovía in the Valencian Community that connects inland routes with the Mediterranean corridor served by the A-7.
  • A. A-30
    The A-30 is a major Spanish motorway that connects inland cities like Albacete and Murcia to the Mediterranean corridor.
  • B. A-30
    A-30 is a major controlled-access highway in Quebec, Canada, forming part of the region’s autoroute network and serving as a bypass around the Montreal metropolitan area.
  • C. A-31
    A-31 is a major Spanish motorway that connects inland regions, including Madrid and Albacete, with the Mediterranean corridor.
  • D. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • E. A-23
    A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1ca49a881909e77b5a2ae13265f completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba6e596a081909843ea5173e60af4 completed May 6, 2026, 8:39 p.m.
NED2 Entity disambiguation (via description) batch_69fba74fe350819080eee658bca7eaf0 completed May 6, 2026, 8:40 p.m.
Created at: April 9, 2026, 10:17 p.m.