Triple

T22349179
Position Surface form Disambiguated ID Type / Status
Subject A27 motorway (Portugal) E552480 entity
Predicate improvesConnectivityTo P82958 FINISHED
Object Spanish border LITERAL FINISHED

How this triple was built (2 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: Spanish border | Statement: [A27 motorway (Portugal), improvesConnectivityTo, Spanish border]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: improvesConnectivityTo
Context triple: [A27 motorway (Portugal), improvesConnectivityTo, Spanish border]
  • A. improvesConnectivityBetween
    Indicates that one entity enhances, strengthens, or facilitates the quality or efficiency of the connection or communication between two other entities.
  • B. connectivity
    Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
  • C. improvesAccessToward chosen
    Indicates that one entity enhances or facilitates the ability of another entity to reach, use, or benefit from a resource, service, or opportunity.
  • D. helpedConnect
    Indicates that one entity assisted in establishing or facilitating a connection or relationship between two or more other entities.
  • E. connectsNeighborhoodsIn
    Indicates a relationship where something (such as a route, road, or service) links or provides direct access between two or more neighborhoods.
  • F. None of above.

Provenance (3 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579a1c308190ae2174f99ae317ab completed April 29, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69e7300c20088190a59e5bf9e70384f3 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:43 p.m.