Triple

T6734444
Position Surface form Disambiguated ID Type / Status
Subject Tien Sa Port E153716 entity
Predicate nearbyCity P350 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: [Tien Sa Port, nearbyCity, Hue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hue
Context triple: [Tien Sa Port, nearbyCity, 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. Beigem
    Beigem is a village in the Flemish Brabant province of Belgium, known as a sub-municipality of Grimbergen.
  • E. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d16d51dc8190869167d86e8f081f completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129f2d2c81908102eabbae3935d7 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:09 p.m.