Triple

T127713
Position Surface form Disambiguated ID Type / Status
Subject English Channel E2585 entity
Predicate hasMajorPort P942 FINISHED
Object Portsmouth E18376 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: Portsmouth | Statement: [English Channel, hasMajorPort, Portsmouth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portsmouth
Context triple: [English Channel, hasMajorPort, Portsmouth]
  • A. Portsmouth chosen
    Portsmouth is a historic naval port city on England’s south coast, heavily targeted and damaged during the World War II Blitz.
  • B. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • C. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • D. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • E. Dover
    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.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25763ccf8819094e8dffb2ff98480 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a36ceb0244819092fdbbd095804b83 completed Feb. 28, 2026, 10:32 p.m.
Created at: Feb. 28, 2026, 2:30 a.m.