Triple

T9320311
Position Surface form Disambiguated ID Type / Status
Subject State Route 24 E224235 entity
Predicate connectsCity P4245 FINISHED
Object Orinda
Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
E791542 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: Orinda | Statement: [State Route 24, connectsCity, Orinda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orinda
Context triple: [State Route 24, connectsCity, Orinda]
  • A. Nicholaston
    Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
  • B. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • C. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • D. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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: Orinda
Triple: [State Route 24, connectsCity, Orinda]
Generated description
Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Orinda
Target entity description: Orinda is a suburban city in Contra Costa County, California, known for its affluent residential character, wooded hills, and role as a commuter community in the San Francisco Bay Area.
  • A. Nicholaston
    Nicholaston is a small coastal village on Wales’s scenic Gower Peninsula, known for its proximity to dunes, woodlands, and the popular Nicholaston Burrows and beach.
  • B. Vindrey
    Vindrey is a rural locality in Russia notable as the birthplace of Soviet Marshal Sergei Akhromeyev.
  • C. Merrillia
    Merrillia is a small genus of flowering plants in the citrus family Rutaceae, known for its tropical tree species.
  • D. Anadia
    Anadia is a municipality and town in Portugal known for its wine production and thermal spas, located in the country's Centro Region.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358dcb4c81909e00bfb58a6dda3f completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7cc71e48190afdc3f1120ce5e02 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0c9bc797c8190b0769154b6684d1b completed April 4, 2026, 8:20 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc2f348c8190a962811d8ecdd1bf completed April 4, 2026, 8:30 a.m.
Created at: March 30, 2026, 7:38 p.m.