Triple

T9673231
Position Surface form Disambiguated ID Type / Status
Subject Roose railway station E234081 entity
Predicate locatedIn P40 FINISHED
Object Roose
Roose is a suburb of Barrow-in-Furness in Cumbria, England, known primarily as a residential area served by its local railway station.
E813971 NE FINISHED

How this triple was built (4 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: Roose | Statement: [Roose railway station, locatedIn, Roose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roose
Context triple: [Roose railway station, locatedIn, Roose]
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • C. Roone
    Roone is a masculine given name most notably associated with pioneering American television sports and news executive Roone Arledge.
  • D. Reies
    Reies is the given name of Reies López Tijerina, a prominent Mexican-American activist known for leading the Chicano land grant movement in New Mexico during the 1960s.
  • E. Ronald Roose
    Ronald Roose is a film editor best known for his work on major Hollywood productions, including the science fiction film "Star Trek VI: The Undiscovered Country."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Roose
Triple: [Roose railway station, locatedIn, Roose]
Generated description
Roose is a suburb of Barrow-in-Furness in Cumbria, England, known primarily as a residential area served by its local railway station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Roose
Target entity description: Roose is a suburb of Barrow-in-Furness in Cumbria, England, known primarily as a residential area served by its local railway station.
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • C. Roone
    Roone is a masculine given name most notably associated with pioneering American television sports and news executive Roone Arledge.
  • D. Reies
    Reies is the given name of Reies López Tijerina, a prominent Mexican-American activist known for leading the Chicano land grant movement in New Mexico during the 1960s.
  • E. Ronald Roose
    Ronald Roose is a film editor best known for his work on major Hollywood productions, including the science fiction film "Star Trek VI: The Undiscovered Country."
  • F. None of above. chosen

Provenance (5 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_69ca848f55e48190b3f67252571c3d45 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c6c05c481909885bfdb850e7527 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a2d030c8190ada52e855bc9afc8 completed April 4, 2026, 10:01 p.m.
NEDg Description generation batch_69d18bf051448190aaa3a7198c23fd39 completed April 4, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69d18c8783f08190858681b51096fe56 completed April 4, 2026, 10:11 p.m.
Created at: March 30, 2026, 8:15 p.m.