Triple

T12753270
Position Surface form Disambiguated ID Type / Status
Subject Wycombe (UK Parliament constituency) E304789 entity
Predicate hasTown 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: [Wycombe (UK Parliament constituency), hasTown, Marlow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marlow
Context triple: [Wycombe (UK Parliament constituency), hasTown, 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. Marlow
    Marlow is the brutal vampire leader and primary antagonist in the horror film "30 Days of Night."
  • C. 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."
  • D. Conrad
    Conrad is the daring pirate hero of Lord Byron’s narrative poem “Le Corsaire,” known for his rebellious spirit and tragic romantic fate.
  • E. 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.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd9555081908b0d027bc332b468 completed April 10, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c98816881909dacdd4f0e2b89c4 completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.