Triple

T1234318
Position Surface form Disambiguated ID Type / Status
Subject South Wales Valleys E26510 entity
Predicate transportLinksTo P12181 FINISHED
Object Cardiff E12034 NE FINISHED

How this triple was built (3 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: Cardiff | Statement: [South Wales Valleys, transportLinksTo, Cardiff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cardiff
Context triple: [South Wales Valleys, transportLinksTo, Cardiff]
  • A. Cardiff chosen
    Cardiff is the capital and largest city of Wales, known as a major cultural, commercial, and sporting center with a rich industrial and maritime history.
  • B. Swansea
    Swansea is a coastal city in South Wales known for its maritime heritage, industrial history, and role as a target during World War II air raids.
  • C. Bridgend
    Bridgend is a town and county borough in South Wales, situated roughly midway between Cardiff and Swansea and known historically for its market and industrial heritage.
  • D. Aberystwyth
    Aberystwyth is a historic seaside and university town on the west coast of Wales, known for its promenade, castle ruins, and role as a cultural and administrative center for the region.
  • E. Merthyr Tydfil
    Merthyr Tydfil is a historic industrial town in South Wales that was once a major center of the iron and coal industries during the Industrial Revolution.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportLinksTo
Context triple: [South Wales Valleys, transportLinksTo, Cardiff]
  • A. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • B. transportNetwork chosen
    Indicates a relationship where infrastructure or services enable the movement of people or goods between different locations.
  • C. transportCorridor
    Indicates a route or pathway used to move people, goods, or resources between locations.
  • D. linkedByRoadTo
    Indicates that two locations are directly connected to each other by a road suitable for travel.
  • E. transportFor
    Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
  • F. None of above.

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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93bf346081908a36a25b6616009a completed March 7, 2026, 9:08 p.m.
PD Predicate disambiguation batch_69a4bb65d61c8190bf0424ea0019a98b completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:47 p.m.