Triple

T845055
Position Surface form Disambiguated ID Type / Status
Subject Marin County E18258 entity
Predicate contains P35 FINISHED
Object Ross
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
 E99589 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: Ross | Statement: [Marin County, contains, Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ross
Context triple: [Marin County, contains, Ross]
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • E. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • 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: Ross
Triple: [Marin County, contains, Ross]
Generated description
Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ross
Target entity description: Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Williams
    Williams is a common English surname borne by numerous notable figures across sports, politics, arts, and entertainment.
  • C. Jones
    Jones is a common English-language surname borne by numerous notable individuals across fields such as entertainment, sports, politics, and science.
  • D. Wilson
    Wilson is a Chicago Transit Authority 'L' station on the North Side that serves as a major stop on the Red Line.
  • E. Wilson
    Wilson is a common English-language surname borne by numerous notable figures across fields such as science, politics, sports, and the arts.
  • 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_69a4938b04208190b82e1df6b572c548 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac09249c8190a8099b94a3c9e2cc completed March 1, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7929c8c9c8190a0279f347ab64765 completed March 4, 2026, 2:02 a.m.
NEDg Description generation batch_69a792fcb75881908562b79005d62b3b completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a793fd988481908ad3c6d2cd46026d completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.