Triple

T10203091
Position Surface form Disambiguated ID Type / Status
Subject SL postcode area E238932 entity
Predicate coversTown P847 FINISHED
Object Marlow E127996 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: Marlow | Statement: [SL postcode area, coversTown, Marlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlow
Context triple: [SL postcode area, coversTown, Marlow]
  • A. Marlow chosen
    Marlow is a historic English town on the River Thames in Buckinghamshire, known for its picturesque setting, suspension bridge, and literary associations.
  • B. Charles Marlow
    Charles Marlow is the introspective sailor and storyteller who serves as the primary narrator in several of Joseph Conrad’s works, most notably "Heart of Darkness."
  • C. Conrad
    Conrad is the daring pirate hero of Lord Byron’s narrative poem “Le Corsaire,” known for his rebellious spirit and tragic romantic fate.
  • D. Conrad
    Conrad is a character in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto," whose fate helps set the story’s dark and supernatural events in motion.
  • E. Conrad
    Conrad is a masculine given name of Germanic origin, commonly used in various European countries and the English-speaking world.
  • 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_69ca84e1ea088190b38162e43d4cfa8f completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdee4239c08190b40f5cc19c3db3c7 completed April 2, 2026, 4:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69d317fcdf18819092d0f3f216edffdc completed April 6, 2026, 2:18 a.m.
Created at: March 30, 2026, 9:14 p.m.