Triple

T8369291
Position Surface form Disambiguated ID Type / Status
Subject Vietnam Railways network E197412 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: [Vietnam Railways network, connectsCity, Hue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hue
Context triple: [Vietnam Railways network, 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb808f7c0481909fef5834cb6e7a3e completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc7929e388190b35505378d0cf653 completed April 2, 2026, 1:34 a.m.
Created at: March 30, 2026, 6:01 p.m.