Triple

T702696
Position Surface form Disambiguated ID Type / Status
Subject Channel E14031 entity
Predicate hasMajorPort P942 FINISHED
Object Dover E31236 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: Dover | Statement: [Channel, hasMajorPort, Dover]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dover
Context triple: [Channel, hasMajorPort, Dover]
  • A. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • B. Dover chosen
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • C. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • D. Portsmouth
    Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
  • E. Newhaven
    Newhaven is a historic coastal district of Edinburgh, Scotland, known for its former fishing village, harbor, and maritime heritage.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a532dd708190ab91e515a07b441e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a9338feedc8190bc5f489428babd82 completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:36 p.m.