Triple

T6423717
Position Surface form Disambiguated ID Type / Status
Subject Beaconsfield (UK Parliament constituency) E128005 entity
Predicate containsTown 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: [Beaconsfield (UK Parliament constituency), containsTown, Marlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlow
Context triple: [Beaconsfield (UK Parliament constituency), containsTown, 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_69c00838de888190af2eec0b80495efa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06906eea88190a445c1ff1169c2b1 completed March 22, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bb9f03c8190a9e8e796dbb9330c completed March 27, 2026, 9:19 a.m.
Created at: March 22, 2026, 4:43 p.m.