Triple

T14211501
Position Surface form Disambiguated ID Type / Status
Subject White Buildings E352242 entity
Predicate hasPoem P21160 FINISHED
Object Passage E576332 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: Passage | Statement: [White Buildings, hasPoem, Passage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passage
Context triple: [White Buildings, hasPoem, Passage]
  • A. Passage chosen
    Passage is a science fiction novel by Connie Willis that explores near-death experiences through a blend of medical mystery, psychological depth, and dark humor.
  • B. Pasaje
    Pasaje is a significant urban center in southwestern Ecuador known for its agricultural activity and role as a commercial hub within El Oro Province.
  • C. Passages
    "Passages" is a track by the band The Moment, known for its melodic, guitar-driven mod revival sound.
  • D. Pasajes
    Pasajes is a coastal town and port in the province of Gipuzkoa in Spain’s Basque Country, known for its historic maritime activity and picturesque harbor.
  • E. Passabe
    Passabe is a village and administrative post in the Oecusse exclave of Timor-Leste, known for its remote location and its role in the region’s political and social history.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620dba0c8190bb77a1df10e1d3a7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19574280819091bafd95a75983bf completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:05 a.m.