Triple

T6819092
Position Surface form Disambiguated ID Type / Status
Subject Euphemia de Ross E156849 entity
Predicate associatedWithRegion P285 FINISHED
Object Ross E87043 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: Ross | Statement: [Euphemia de Ross, associatedWithRegion, Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross
Context triple: [Euphemia de Ross, associatedWithRegion, Ross]
  • A. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • B. Ross chosen
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • C. Russ
    Russ is a central white homeowner in Bruce Norris's play "Clybourne Park," whose grief and decisions over selling his house catalyze the drama’s exploration of race, property, and neighborhood change.
  • D. Connell
    Connell is a surname of Irish origin borne by various notable individuals across literature, sports, and public life.
  • E. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e458d881909fcea55915514eb1 completed March 28, 2026, 12:42 a.m.
Created at: March 27, 2026, 2:17 p.m.