Triple

T10529616
Position Surface form Disambiguated ID Type / Status
Subject North–South Railway E248402 entity
Predicate connectsCity P4245 FINISHED
Object Hue E116514 NE 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: Hue | Statement: [North–South Railway, connectsCity, Hue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hue
Context triple: [North–South Railway, connectsCity, Hue]
  • A. Hue chosen
    Hue is a historic city in central Vietnam that served as the former imperial capital and was a major battleground during the Vietnam War.
  • B. Buren
    Buren is a historic Dutch town in the province of Gelderland, known for its ties to the Dutch royal family and its well-preserved medieval character.
  • C. Buren
    Buren is the entomologist who formally described the invasive red imported fire ant species Solenopsis invicta.
  • D. Barvas
    Barvas is a coastal village and community on the Isle of Lewis in Scotland’s Outer Hebrides, known for its Gaelic heritage and traditional crofting landscape.
  • E. Beigem
    Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f7d8ac8190b90c1a7f77b23545 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e3caf4c8190b19199f1a68a00de completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:30 p.m.